Inscribe AI automates fraud detection and document review for financial institutions, solving the critical issue of inefficiencies and security vulnerabilities in manual processes. With its advanced machine learning models, Inscribe AI helps banks and fintech companies quickly identify and address fraudulent activities. This article explores the origins, technology, solutions, and real-world impact of Inscribe AI. Recently, Inscribe AI raised $25 million in a Series B funding round led by Threshold Ventures.
Key takeaways
- Inscribe AI, founded in 2017 by Ronan and Conor Burke, leverages machine learning to enhance fraud detection and streamline manual review processes for financial institutions.
- The company offers a range of AI-driven solutions, including document fraud detection, transaction categorization, and cashflow analysis, to improve efficiency in risk management.
- Inscribe AI’s deployment of AI Risk Agents automates fraud detection and compliance monitoring, allowing risk teams to focus on more strategic tasks and reducing human error.
Learn about the history and origin of Inscribe AI
Inscribe AI emerged to tackle the inefficiencies and vulnerabilities in the manual review processes of banks and fintech companies. Founded in 2017, Inscribe AI leverages machine learning algorithms to analyze financial documents for signs of forgery, raising alerts for modifications or anomalies. This technology is particularly valuable in the fintech sector, where swift and accurate analysis of loan applications can significantly enhance fraud detection capabilities.
Inscribe AI utilizes advanced machine learning models to flag and annotate suspicious documents automatically, proving indispensable for financial institutions. Analyzing large datasets and identifying patterns of fraudulent behavior that human analysts might miss showcases AI’s power and potential in financial services.
Inscribe AI Co-Founders Ronan Burke and Conor Burke
At the helm of Inscribe AI are twin brothers Ronan and Conor Burke. Their journey started with a vision to eliminate the tedious and error-prone manual review processes affecting financial institutions. Conor Burke, who serves as the CTO, was recognized as a Forbes ‘30 Under 30 Europe’ honoree in 2020, a testament to his innovative contributions to the field. Both brothers graduated from University College Dublin, where Conor earned a degree in Electronic Engineering before participating in the prestigious Y Combinator startup accelerator.
The Burke brothers established Inscribe AI to address inefficiencies in manual review processes within banks and fintechs. Their commitment to using AI for enhancing financial security and streamlining operations has positioned Inscribe AI as an industry leader. Their efforts are not just about technology but about redefining how financial institutions approach risk management.
Ronan Burke: Visionary Leader and Co-Founder
Ronan Burke, as one of the driving forces behind Inscribe AI, plays a pivotal role in shaping the company's strategic direction. With a keen eye for innovation, Ronan has been instrumental in developing the solutions that address inefficiencies in manual fraud detection processes. His leadership ensures that Inscribe AI remains at the forefront of leveraging AI to transform risk management for financial institutions. Ronan's dedication to improving financial security through technology has been a cornerstone of Inscribe AI's success.
Conor Burke: Technical Innovator and Co-Founder
Conor Burke, serving as the Chief Technology Officer, is the technical mastermind behind Inscribe AI’s groundbreaking solutions. Recognized as a Forbes ‘30 Under 30 Europe’ honoree in 2020, Conor's contributions to the field of AI and machine learning are noteworthy. His expertise in electronic engineering, honed at University College Dublin, has been crucial in developing Inscribe AI’s advanced machine learning models. Conor’s commitment to innovation drives the continuous enhancement of Inscribe AI’s capabilities, ensuring the company leads in fraud detection and risk management.
Inscribe AI investors
Some of the most reputable investors in the tech industry support the vision of the Burke brothers. Inscribe AI has garnered support from investors who recognize the transformative potential of its technology. Threshold Ventures led a $25 million Series B funding round for Inscribe AI, reflecting significant investor interest in AI solutions for financial services. These investors have provided financial backing and strategic guidance to ensure continuous innovation and success for the company.
Inscribe AI Careers
Inscribe AI is more than just a tech company; it is a community that values diversity, inclusivity, and innovation. The company fosters a culture that embraces diverse perspectives, leading to greater innovation and a more fulfilling workplace. Inscribe AI offers comprehensive benefits, including healthcare, retirement plans, flexible work schedules, and volunteer time off, ensuring that employees feel supported in all aspects of their lives.
Inscribe AI offers a collaborative and welcoming work environment focused on addressing meaningful challenges. The company encourages its team members to engage in both successes and failures, fostering a culture of continuous learning and improvement.
Inscribe AI actively seeks to build a diverse and inclusive workforce by eliminating unconscious biases in its hiring process. To learn more about working at Inscribe, visit our Careers page or check out our current openings.
Inscribe AI’s “Good Question” Podcast
"Good Question" is a podcast by Inscribe AI that delves into topics such as large language models (LLMs), AI agents, and ChatGPT prompts, tailored specifically for fraud fighters and risk leaders. Each episode offers insightful discussions aimed at equipping professionals with the knowledge to navigate the evolving landscape of AI in fraud prevention.
Recent episodes have explored subjects like the role of AI agents in combating fraud, the implications of tools like FraudGPT on financial crime, and the integration of multimodal LLMs in AI development. The podcast features conversations with industry experts, providing listeners with practical insights and strategies to adapt to emerging AI-driven challenges.
Check Out An Episode of “Good Question”
Listeners can access "Good Question" on various platforms, including Inscribe's website, Youtube, Apple Podcasts, and Spotify. Whether you're a seasoned risk leader or new to the field, "Good Question" offers valuable perspectives to help you stay ahead in the dynamic world of AI and fraud prevention.
Inscribe AI Products & Solutions
Inscribe AI’s suite of solutions is designed to address the multifaceted challenges faced by financial institutions in the realm of risk management. Inscribe AI offers a range of tools using advanced machine learning models to enhance the efficiency and accuracy of fraud detection, document parsing, transaction enrichment, cashflow analysis, and document collection.
These solutions transform how financial institutions approach risk management, going beyond mere automation. Inscribe AI allows companies to eliminate tedious review tasks and focus on strategic activities, enhancing their ability to detect and prevent fraud.
Document Fraud Detection from Inscribe AI
Document fraud encompasses various illegal activities, including the creation and alteration of official documents to deceive. Common types of fraudulent documents include fake IDs, forged bank statements, counterfeit identity documents, and fake proofs of address. Fraudsters employ methods such as simple forgery, template fraud, and the use of counterfeit documents to perpetrate fraud. The availability of online template farms has facilitated the easy creation of fraudulent documents, contributing to a nearly 20% increase in unique document templates identified in recent years.
Inscribe's AI-driven solutions are designed to detect these sophisticated fraud attempts by analyzing document characteristics, identifying anomalies, and comparing documents against known legitimate and fraudulent templates. Their tools help businesses stay ahead of fraudsters by providing real-time detection and insights, thereby reducing the risk of financial losses and reputational damage.
See How Inscribe AI Detects Document Fraud
Inscribe AI’s document fraud detection is a cornerstone of its offerings, relying on sophisticated machine learning models that have been trained on a vast repository of real-world documents since 2017. These models are designed to swiftly extract critical financial data from various document types, such as bank statements and tax forms. By doing so, they enable immediate identification of transaction types including income and expenses, enhancing transaction categorization and offering a structured overview of transactions by account for comprehensive cashflow analysis.
Advanced Machine Learning Models
The heart of Inscribe AI's document fraud detection lies in its advanced machine learning models. Inscribe's proprietary ML models are trained on a vast and diverse dataset of real-world financial documents, accumulated since 2017, and are continuously updated and trained using a diverse set of documents, ensuring they remain adept at identifying even the most subtle signs of document forgery. By analyzing patterns and anomalies, the models can flag suspicious documents that might otherwise go unnoticed during manual reviews.
Extensive Document Database
With millions of documents in their database, Inscribe's models benefit from extensive training data, ensuring high accuracy and reliability in fraud detection. This extensive dataset enables the models to recognize a wide array of fraudulent patterns and adapt to emerging threats, providing robust protection against fraud.
Real-Time Fraud Detection
One of the standout features of Inscribe AI's document fraud detection is its ability to provide real-time analysis. This capability is crucial for financial institutions that need to make quick decisions regarding loan applications or other financial transactions. By automating the document analysis process, Inscribe AI not only improves the speed and accuracy of fraud detection but also reduces the workload on risk teams, allowing them to focus on more strategic tasks.
Document X-Ray
The Document X-Ray feature employs AI to scrutinize documents for signs of fraud. It detects anomalies such as added text boxes, mismatched fonts, and other irregularities that may indicate document tampering. This automated analysis allows teams to make quicker and more precise decisions, enhancing the overall efficiency of fraud detection processes.
In-House Risk Operations Team
The in-house risk operations team at Inscribe plays a crucial role in enhancing the AI models. They meticulously hand-label data for training, ensuring the models learn from accurate and relevant examples. Additionally, their extensive experience with document reviews allows them to provide guidance and recommendations, further refining the AI's performance and ensuring it aligns with real-world requirements.
2023 and 2024 Document Fraud Reports
Inscribe's commitment to understanding and combating document fraud is evident in their annual reports. The 2023 Document Fraud Report highlighted a significant increase in document fraud, with financial services companies experiencing a 79% rise in such incidents in 2022. Notably, document fraud doubled in 2023, underscoring the escalating threat. Nearly 80% of risk leaders reported a year-over-year increase in fraud attempts during 2023, emphasizing the need for robust detection solutions.
The 2024 Document Fraud Report further delves into emerging trends and provides actionable insights for risk teams. It emphasizes the importance of anticipating new fraud attempts and highlights the need for industry collaboration to effectively combat fraud. Inscribe's dedication to providing document fraud trends, prevention methods, and industry-leading detection technology is evident throughout the report.
In summary, Inscribe's integration of advanced machine learning models, comprehensive document analysis tools, and a dedicated team of experts position them as a leader in AI-driven fraud detection and risk management. Their solutions empower businesses to detect and prevent fraud more efficiently, ensuring robust protection in an increasingly digital financial landscape.
Document Parsing from Inscribe AI
Inscribe AI’s document parsing technology efficiently processes and interprets data from various document types. This technology can extract key financial information from various types of documents in a structured format, enhancing the accuracy and efficiency of data extraction. The models used for document parsing have been trained on a vast network of actual documents from financial institutions since 2017, ensuring reliable performance.
Automated parsing boosts productivity by reducing manual data entry tasks and enabling employees to focus on more strategic roles. The technology also minimizes reliance on physical storage by enabling quicker searches and better resource management.
Integrating seamlessly with existing systems, Inscribe’s document parsing solutions streamline workflows and improve data reliability.
Transaction Enrichment from Inscribe AI
Inscribe AI’s transaction enrichment system organizes transactions by analyzing the content of the documents and identifying key financial information. This capability enables quick categorization of transactions, identifying income, expenses, and other financial activities effortlessly. The system employs a hierarchical structure for transaction categories, enhancing the clarity and organization of transaction data.
Assigning each transaction to a specific category, Inscribe AI provides enriched transaction analysis, helping financial institutions gain deeper insights into their clients’ financial behaviors. This structured approach to transaction categorization improves risk assessments and financial decision-making processes.
Cashflow Analysis from Inscribe AI
Cashflow analysis through Inscribe AI provides insights by systematically reviewing financial transactions across different accounts. This feature evaluates an applicant’s income, loans, and expenses to provide a comprehensive overview of their financial situation. Analyzing data from multiple sources, including bank statements and pay stubs, Inscribe AI delivers rapid insights into applicants’ financial health.
Utilizing advanced machine learning models, Inscribe’s cashflow analysis identifies key financial signals that assist in evaluating creditworthiness. This automated analysis operates 24/7, enabling scalable and efficient performance without the limitations of human review. The integration of multiple systems provides a comprehensive overview of cashflow, helping teams make informed decisions quickly.
Document Collection from Inscribe AI
Inscribe AI facilitates the gathering of documents necessary for compliance and fraud detection, streamlining the collection process for financial institutions. The automated document collection process involves gathering paperwork from applicants, such as identification and financial records, crucial for verifying identity and preventing fraud. This is achieved through a specialized portal that allows secure and instant submission of documents, significantly reducing manual effort.
See How Inscribe Safely and Securely Collects Documents
The use of Optical Character Recognition (OCR) technology enhances data accuracy by converting images of documents into editable text. Automated systems categorize uploaded documents and notify applicants of any missing or unclear submissions, improving the efficiency of the collection process.
Implementing these solutions allows organizations to decrease processing time, improve client experiences, and ensure compliance with data protection regulations.
LLMs Deployed as AI Risk Agents from Inscribe AI
Inscribe AI’s deployment of large language models (LLMs) as AI risk agents is revolutionizing risk management in financial services. These AI Risk Agents automate the fraud detection process, reducing the need for manual verification efforts and significantly improving efficiency. They operate continuously, providing real-time analysis and categorization of transactions without human error.
Automating repetitive tasks with AI Risk Agents allows human analysts to focus on complex investigations, enhancing overall productivity and accuracy. These agents help decrease the number of false positives, improving the overall accuracy of fraud detection and making the underwriting process more efficient.
AI Fraud Analyst
The AI Fraud Analyst from Inscribe automates the manual review process for fraud detection, allowing risk teams to focus on more strategic tasks rather than time-consuming investigations. This tool operates continuously, enabling teams to scale efficiently without increasing their budget or workforce. Significantly reducing the time for manual fraud reviews, the AI Fraud Analyst enhances productivity and speeds up customer onboarding.
See Inscribe’s AI Fraud Analyst in Action
AI Compliance Analyst
AI Compliance Analysts ensure organizational adherence to laws and regulations by continuously monitoring compliance and evaluating practices. These AI agents quickly analyze extensive datasets, which helps reduce human error and enables proactive risk management by providing automated alerts. They help organizations stay updated with regulatory changes and prepare compliance reports that communicate the compliance status to management.
The implementation of AI tools significantly streamlines compliance processes, enhancing accuracy and reducing operational costs. Using machine learning capabilities, AI Compliance Analysts identify compliance risks by detecting patterns and anomalies indicating potential violations.
Automated alert systems improve response times to potential compliance issues, allowing ops teams to focus on strategic activities.
Case Studies: Success Stories with Inscribe AI
Inscribe AI’s technology has been widely adopted across multiple sectors, leading to numerous success stories. Approximately 58% of the financial services sector utilizes AI technology for fraud detection to safeguard against avoidable fraud losses.
These case studies highlight how Inscribe AI has transformed the risk management landscape for various organizations.
Prominent Fintech Start-Ups
Leading fintech companies have integrated Inscribe AI to streamline their fraud detection processes. These fintech start-ups have reported a significant reduction in fraud incidents and enhanced risk assessment accuracy. The advancements made through Inscribe AI are transforming how the fintech industry approaches fraud detection and risk management.
Prominent fintech start-ups such as those highlighted in the Business Insider article have embraced Inscribe AI’s technology, showcasing its critical role in maintaining trust and security in their services. This adoption underscores the importance of robust fraud detection mechanisms in leading fintechs.
Ramp reduced application processing times by 30 minutes and saved $300K in fraud with improved accuracy
Ramp, a finance automation platform specializing in corporate cards and expense management, experienced rapid growth accompanied by increased risk. Integrating Inscribe's solutions allowed Ramp to reduce average application processing times by 30 minutes and saved $300,000 in fraud losses by accurately identifying fraudulent documents. Alex De Jesus, Head of Fraud at Ramp, remarked, "Inscribe has become a key component in our fraud ecosystem. The tool is highly effective at identifying fraudulent documents and it gives us a high level of confidence that fraud isn’t going to happen."
Plaid improved application processing times, increased confidence in decision-making, and optimized resources with Inscribe
Plaid, a data network powering fintech tools, required a solution to verify the accuracy and trustworthiness of uploaded documents for income verification. By adopting Inscribe AI, Plaid reduced document review times from 1–2 days to under 30 seconds, automating 50% of reviews with no wait time for customers. Rohan Sriram, Product Manager at Plaid, mentioned, "Inscribe comes back with a response on each document in under 30 seconds, which has really helped our customers move applications a lot faster."
Airbase reduced manual document review times to less than one minute and saved $126K on avoided fraud losses
Airbase, a leading procure-to-pay software company, faced challenges in manually reviewing invoices and receipts for potential fraud. By integrating Inscribe's solutions, Airbase reduced manual document review times by 80%, decreasing the average review period from 2–5 minutes to less than one minute. This efficiency led to savings of $126,000 in fraud losses by detecting four fraudulent invoices within a few months. Preston Miller, Manager of Fraud and Chargeback at Airbase, noted, "With Inscribe, we can uncover things we normally wouldn’t be able to find using traditional methods."
Bluevine saved $150K in fraud losses and enhanced the customer experience
Bluevine, a fintech company offering banking solutions to small businesses, sought to enhance its fraud detection and underwriting processes. Implementing Inscribe enabled Bluevine to detect manipulations in prospective customers' bank statements, preventing a potential $150,000 fraud loss on a single lending application. Jakob Weyland, Director of Risk Strategy at Bluevine, stated, "I have confidence in Inscribe. It’s proven to be a highly valuable tool that we rely on to prevent substantial losses."
Traditional Lenders and Large Enterprises
Traditional lenders have increasingly integrated Inscribe AI into their operations to enhance their fraud detection capabilities. For instance, a notable traditional lender used Inscribe AI to streamline their risk management process, significantly reducing fraud incidents. Large enterprises are also leveraging Inscribe AI to automate their fraud detection processes, resulting in more efficient risk management and a reduction in operational risks.
These integrations demonstrate how Inscribe AI helps traditional lenders and large enterprises convert trustworthy customers faster, allowing them to focus more on expanding their customer base and improving service delivery. By automating fraud reviews, Inscribe AI reduces the manual effort involved, enabling risk teams to spend more time converting trustworthy customers rather than being bogged down by time-consuming investigations. The adoption of Inscribe AI by such organizations underscores its reliability and effectiveness in fraud detection and risk management.
VIVA Finance reduced their application response time to less than 1 day with Inscribe
VIVA Finance, a mobile-first lending platform, faced challenges with fraud as it expanded into new markets. By automating document review processes with Inscribe, VIVA Finance analyzed over 40,000 documents for fraud in seconds, saved $400,000 in fraud losses by detecting fraudulent loan application documents within six months, and reduced application response times by over 50%. Sara Vozeolas, Sr. Operations Analyst at VIVA Finance, stated, "Inscribe has enabled us to grow our business because we trust their software to defend us against fraudsters."
Camino Financial saves 30 minutes on every application and $60K for every fraud case prevented
Camino Financial, a community lending platform, aimed to provide accessible loans to underbanked minority-owned businesses while mitigating fraud risk. Implementing Inscribe's solutions resulted in estimated savings of $60,000 for every prevented fraud case and a reduction of 30 minutes per application in processing time. Jose Anzaldo, Senior Credit Originations Manager at Camino Financial, commented, "When the potential for fraud is high, we wanted the best product that we could get. And that's what we saw with Inscribe."
Property Managers and Marketplaces
Property managers and marketplaces like GSC have adopted Inscribe AI to streamline their fraud detection processes, ensuring safer transactions for their users. These companies use Inscribe AI to detect fraudulent claims, improving the integrity of their insurance processes. This technology helps to safeguard their operations by detecting manipulation in claims and bookings.
The integration of Inscribe AI into these platforms highlights the versatility and effectiveness of its fraud detection capabilities across different industries. By providing a secure environment for their users, companies like Uber and Airbnb can maintain trust and reliability in their services.
GSC saved substantial eviction costs and gets income verification in seconds with Inscribe
GSC, a leading provider of apartment homes and management services, faced an increase in fraudulent applications during the COVID-19 pandemic, with prospective tenants submitting fake or altered pay stubs and bank statements. By implementing Inscribe, GSC achieved a 161% return on investment during the trial period, with 11% of documents flagged as fraudulent. The time for income verification was reduced to 12 seconds, enabling GSC to avoid costly evictions and ensure applicants met income requirements. Katisha Kersey, Director of Administration at GSC, stated, "With Inscribe, we can catch fraudulent applications, save our team a lot of work, and reduce evictions by ensuring that people meet the criteria at the time of application."
Mercari reduced fraud exposure and improved compliance while reducing screening times by 20%
Mercari, a global e-commerce marketplace specializing in peer-to-peer sales of secondhand goods, faced challenges in managing complex regulations and licensing requirements across various states. By implementing Inscribe, Mercari achieved a 20% reduction in average handling time for standard compliance screenings, shaving up to one minute off the average processing time of about five minutes.
Additionally, Inscribe's alerts helped Mercari avoid potential violations due to fraud detected in seller documentation, preventing fines that could amount to millions of dollars. Christian Townsend, Director of Anti-Financial Crimes & AML Compliance at Mercari, stated, "The great thing about Inscribe is that it has reduced our dependency on other, less secure tools for document storage and also created a better, stronger user experience for retrieving that information and interacting with our sellers."
Future Innovations: AI Risk Workforce by 2030
Looking ahead, the future of AI in fraud management is bright. Inscribe AI’s algorithms are capable of learning from historical fraud patterns, allowing them to adapt and improve detection capabilities over time. The AI in fraud management market is projected to grow significantly, reaching around $57 billion by 2033, indicating a strong shift towards AI-driven solutions.
By 2030, many jobs may see a significant portion of their activities automated, influencing how AI workforce models are deployed. Adaptability and complementary skills will be crucial for workers to thrive alongside AI advancements in the workplace.
The adoption of AI orchestration platforms is expected to reach half of all businesses in the coming years, highlighting AI’s importance in enhancing productivity and efficiency.
What You Need to Know About Inscribe AI
Inscribe AI is revolutionizing the way financial institutions approach fraud detection and risk management. From its origins and the visionary leadership of the Burke brothers to its innovative solutions and successful case studies, Inscribe AI stands out as a leader in the industry. Its advanced machine learning models and AI risk agents enable financial institutions to automate tedious review tasks, focus on strategic activities, and improve overall fraud detection efficiency.
As we look to the future, Inscribe AI’s commitment to innovation and excellence will undoubtedly continue to set new standards in the industry. By embracing AI-driven solutions, organizations can stay ahead of fraudsters and ensure the security and integrity of their operations. The future of risk management is here, and Inscribe AI is leading the charge.
Frequently Asked Questions
Who are the founders of Inscribe AI?
Inscribe AI was founded by twin brothers Ronan and Conor Burke.
What does Inscribe AI do?
Inscribe AI is a pioneering fraud detection and document automation platform that helps financial services companies and lenders authenticate documents, detect fraud, and automate document-intensive workflows. The company's technology combines advanced AI and machine learning to analyze documents for signs of manipulation, forgery, and fraudulent alterations, while also extracting and verifying key information to streamline operations and reduce manual review time.
How does Inscribe AI work?
Inscribe AI works by utilizing sophisticated computer vision, machine learning algorithms, and large language models to analyze documents at a pixel level, identifying signs of manipulation or forgery that might be invisible to the human eye, as well as corroborate applicant information across documents and via external sources like web and database searches. The technology examines multiple aspects of each document, including metadata, content consistency, and historical patterns, to provide a comprehensive fraud risk assessment while simultaneously extracting and verifying relevant information.
What is the primary focus of Inscribe AI's business?
Inscribe AI primarily focuses on automated document fraud detection by employing machine learning and AI to analyze financial documents for forgery and anomalies. This ensures a high level of security and reliability in financial transactions.
What is the Inscribe AI software?
The Inscribe AI software is a comprehensive solution that combines document fraud detection, risk analytics, and automated data extraction capabilities. The platform seamlessly integrates into existing workflows, providing real-time document verification, fraud detection, and automated data entry, helping organizations reduce fraud losses while improving operational efficiency and customer experience.
How does Inscribe AI train its software to detect forgery?
Inscribe AI trains its software by training on the millions of documents across its customer base, sourcing fraudulent document templates from the template stores online, and generating its own samples of forged documents, which allows for thorough testing and enhances the accuracy of its fraud detection capabilities. This method ensures that the system remains reliable in identifying forgeries.
What future markets is Inscribe AI planning to explore beyond fintech lenders?
Inscribe AI is set to expand into enterprise banks, traditional lenders, larger companies, the insurance sector, and other marketplaces such as Uber and Airbnb. This strategic diversification highlights their ambition to broaden their impact beyond fintech.
How much funding did Inscribe AI raise in its recent funding round?
Inscribe AI recently raised $10.5 million in funding as part of a larger $25 million Series B round led by Threshold Ventures.
What is Inscribe AI's phone number?
For assistance with Inscribe AI, we encourage you to request a demo. If you'd like to contact the team, you can reach out through our Contact Us page. Current customers can connect with their dedicated Customer Success Manager or use the intercom chat feature within the Inscribe web application for immediate support.
How can I log into Inscribe AI?
To access Inscribe AI's platform, users can sign in securely at app.inscribe.ai. This provides access to all of Inscribe's powerful fraud detection and document automation features through an intuitive web interface.
Does Inscribe AI have an API?
Yes, Inscribe AI offers a powerful and flexible API that allows organizations to seamlessly integrate its document fraud detection and automation capabilities into their existing systems and workflows. The API provides programmatic access to all of Inscribe's core features, enabling automated document verification, fraud detection, and data extraction at scale.
Is Inscribe the leader in document fraud detection?
Yes, Inscribe has established itself as a leader in document fraud detection through its innovative technology, proven results, and trusted partnerships with major financial institutions. The company's advanced AI capabilities, comprehensive fraud detection features, and commitment to continuous improvement have set new standards in the industry for accuracy and reliability.
How does Inscribe AI compare to competitors?
When compared to other solutions in the market, Inscribe AI stands out through its superior accuracy in fraud detection, comprehensive feature set, and ability to handle complex document workflows. The platform's advanced AI technology, coupled with its user-friendly interface and robust automation capabilities, provides a more complete and effective solution than alternatives. Additionally, Inscribe's dedicated customer success team and continuous platform improvements ensure clients receive maximum value from their investment.
