EXL granted 10 new patents in the last year for AI solutions

Rhea-AI Summary

EXL (NASDAQ: EXLS) announced it was granted 10 new U.S. patents in the past year, spanning data ingestion, knowledge graphs, agentic AI workflows, audit, image analytics, regulatory reporting, communication optimization and LLM fine-tuning. EXL launched EXLdata.ai in October 2025 and cites its EXL Insurance LLM as delivering 20–30% higher accuracy for claims and underwriting tasks. The patents (issued 2023–2026) support products such as EXL Xtrakto.AI, EXLerate.ai, EXL Transaction Insights, EXL Smart Audit.AI and EXL Paymentor, aiming to embed decision intelligence across enterprise workflows.

Positive

• Granted 10 U.S. patents in the last year strengthening IP portfolio
• Launched EXLdata.ai in October 2025 to unify enterprise data
• EXL Insurance LLM claims 20–30% higher accuracy in claims and underwriting
• Patents cover enterprise features: multimodal ingestion, knowledge graphs, and agentic AI orchestration

Negative

• None.

Key Figures

New U.S. patents: 10 patents Multimodal data patent: U.S. Patent No. 12,260,342 Knowledge graph patent: U.S. Patent No. 12,481,215 +5 more

8 metrics

New U.S. patents 10 patents Granted in the last year for EXL’s AI solutions

Multimodal data patent U.S. Patent No. 12,260,342 Multimodal table extraction and semantic search for EXL Xtrakto.AI

Knowledge graph patent U.S. Patent No. 12,481,215 Dynamic content segmentation and graph-based embeddings

Data intelligence patent U.S. Patent No. 12,400,252 EXL Transaction Insights for personal financial risk assessment

Audit automation patent U.S. Patent No. 12,334,077 Automated audio-to-text signal processing for Smart Audit.AI

Image analytics patent U.S. Patent No. 12,387,271 Cognitive image analytics to reduce network traffic for predictions

Regulatory reporting patent U.S. Patent No. 12,468,696 AI-enhanced insurance regulatory reporting accuracy and speed

Insurance LLM accuracy 20–30% higher accuracy Claims and underwriting tasks vs leading general-purpose models

Market Reality Check

Price: $31.70 Vol: Volume 2,869,905 is 1.62x...

high vol

$31.70 Last Close

Volume Volume 2,869,905 is 1.62x the 20-day average of 1,774,516, indicating elevated trading interest before this AI patent news. high

Technical Shares at $31.70 are trading below the 200-day MA of $42.76 and sit 39.54% under the 52-week high of $52.43, just 2.23% above the 52-week low of $31.01.

Peers on Argus

EXLS was up 1.6% while key IT services peers like G (+3.59%), KD (+6.63%), GDS (...

1 Up 1 Down

EXLS was up 1.6% while key IT services peers like G (+3.59%), KD (+6.63%), GDS (+5.11%), EPAM (+3.98%) and PSN (+1.89%) also rose. Momentum scanner data, however, flags mixed moves (e.g., APLD up 11.47%, KD down 53.09%), so this looks more stock-specific than a clean sector rotation.

Common Catalyst One close peer, KD, reported quarterly results today, suggesting some peer moves may reflect earnings-driven flows rather than EXL’s AI patent news.

Previous AI Reports

5 past events · Latest: Feb 05 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Feb 05	AI event announcement	Positive	-3.9%	Launch of AI in Action 2026 virtual event focused on scaling AI workflows.
Nov 25	AI innovation event	Positive	+2.3%	Announcement of IdeaTank AI innovation event at Nasdaq MarketSite with pitches.
Nov 04	AI leadership ranking	Positive	+1.0%	Named Leader in 2025 ISG Generative AI Services report across key categories.
Oct 22	AI client deployment	Positive	-0.3%	AI-powered logistics transformation with Schneider improving cycle time and costs.
Oct 07	AI platform launch	Positive	-0.5%	Launch of EXLdata.ai agentic AI-native data suite to make data AI-ready.

Pattern Detected

Across recent AI-tagged headlines, EXLS has often traded flat-to-down even on constructive AI announcements, with 3 of the last 5 AI events seeing negative next-day moves despite positive positioning.

Recent Company History

Over the past year, EXL has repeatedly highlighted its AI strategy, launching EXLdata.ai, securing leadership rankings in generative AI services, partnering with Schneider on AI-powered logistics, and promoting its AI-focused IdeaTank event. Price reactions to these AI-tagged updates have been modest, averaging a -0.27% move, with several constructive announcements followed by slight declines. Today’s cluster of 10 new AI-related patents fits this ongoing narrative of deepening AI capabilities and productization across workflows.

Historical Comparison

AI

-0.3 %

Average Historical Move

Historical Analysis

In the last 5 AI-tagged releases, EXLS averaged a -0.27% move. Today’s +1.6% gain on multiple AI patent grants sits above that recent pattern of mostly muted-to-negative reactions.

Typical Pattern

AI news has progressed from platform launches and client case studies to external leadership recognitions and internal innovation events, now extending into a broad portfolio of granted AI-related patents.

Market Pulse Summary

This announcement details 10 new U.S. patents that deepen EXL’s AI stack across data ingestion, know...

Analysis

This announcement details 10 new U.S. patents that deepen EXL’s AI stack across data ingestion, knowledge graphs, regulatory reporting, audits, image analytics, and an insurance-specific LLM claiming 20–30% higher accuracy versus general models. In recent AI-tagged news, price reactions averaged only -0.27%, suggesting the market has treated such innovation updates cautiously. Investors may focus on how these patents embed into products like EXLdata.ai and EXLerate.ai and what upcoming earnings reveal about AI-driven growth and efficiency.

Key Terms

agentic ai, knowledge graph, reinforcement learning, semantic search, +4 more

8 terms

agentic ai technical

"These advancements include making data, agentic AI-ready through EXLdata.ai™"

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

knowledge graph technical

"extract concepts and relationships, and generate graph-based embeddings for fast, context-aware search"

A knowledge graph is a structured map that links facts about people, companies, products, and events so a computer can understand how they relate to one another. For investors, it turns scattered data—news, filings, research—into clear connections (like a labeled map) that reveal risks, hidden relationships, and opportunities faster, improving due diligence and decision-making without relying on a single document.

reinforcement learning technical

"uses a tensor-based reinforcement learning platform to optimize timing, tone, content"

A type of artificial intelligence that learns by trial and error, receiving feedback from its actions to favor choices that lead to better outcomes. Think of it like a salesperson learning which pitches close deals by trying different approaches and keeping the ones that work. For investors, reinforcement learning matters because it can power smarter trading systems, optimize business operations, or improve products—potentially boosting efficiency and profits while also introducing model and execution risks.

semantic search technical

"multimodal table extraction and semantic search methods which allow natural-language queries"

Semantic search is a way for computer systems to find information by understanding the meaning behind words instead of just matching exact keywords. For investors, it helps surface relevant filings, news, and research even when different words or phrasing are used, so you’re less likely to miss important signals and can make faster, better-informed decisions—like asking a knowledgeable analyst who grasps context rather than scanning for specific phrases.

natural-language queries technical

"allow natural-language queries within unstructured documents using advanced machine learning models"

A natural-language query is a question or request written or spoken in everyday speech — what you would type or say to a person — used to ask a database, search engine, or software tool for information. For investors, this matters because it makes complex financial data easier and faster to access and interpret without technical skills, like asking an assistant for a quick summary so you can make timelier, better-informed decisions.

knowledge distillation technical

"contextual text recognition using prompt-guided knowledge distillation"

Knowledge distillation is a process where a smaller, cheaper AI model learns to mimic the behavior of a larger, more complex model by copying its outputs rather than relearning everything from scratch. For investors, it matters because it can deliver similar performance at lower computing cost and faster speed—like an apprentice adopting a master’s best shortcuts—making AI products cheaper to run, easier to scale, and quicker to deploy.

large language model technical

"the first industry-specific large language model (LLM) created to augment claim adjudication"

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

graph-based embeddings technical

"extract concepts and relationships, and generate graph-based embeddings for fast, context-aware search"

Graph-based embeddings are a way to turn the connections and relationships in a network—such as ownership links, transaction flows, or social ties—into compact numerical profiles that computers can compare and analyze quickly. For investors, they make complex webs of relationships actionable by revealing hidden clusters, similar players, or unusual links (think of converting a subway map into coordinates you can search), which helps with risk spotting, portfolio research, and detecting opportunities that aren’t obvious from standalone data.

AI-generated analysis. Not financial advice.

EXL’s patents for transforming data, enabling AI workflows and enhancing decision intelligence deliver measurable growth, savings, compliance and enhanced customer engagement

NEW YORK, Feb. 09, 2026 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a global data and AI company, announced that it has been granted 10 new U.S. patents in the last year for innovations that power solutions for clients across insurance, healthcare, retail, utilities and financial services. These advancements include making data, agentic AI-ready through EXLdata.ai™, unlocking the power of agentic AI to automate and orchestrate workflows with EXLerate.ai™ and fine-tuning domain specific LLMs. This strengthens EXL’s position as a data and AI leader, embedding AI into critical business workflows and enabling clients to accelerate growth, reduce costs and improve customer experience.

“These patents underscore EXL’s commitment to innovation and to building differentiated data and AI capabilities that deliver measurable outcomes for our clients,” said Anand “Andy” Logani, executive vice president and chief data and AI officer at EXL. “From extracting intelligence from unstructured data to orchestrating agentic AI workflows and advancing responsible, compliant AI, we are embedding decision intelligence directly into enterprise operations, enabling clients to operate faster, reduce costs, and improve customer outcomes with confidence.”

EXLdata.ai: Launched in October 2025, EXLdata.ai is a first-of-its-kind agentic AI-native suite of data solutions built to unify complex data ecosystems and accelerate enterprise-wide adoption. The newly patented innovations address a wide range of enterprise AI use cases within EXLdata.ai, including the following:

• Multimodal Data Ingestion: U.S. Patent No. 12,260,342 (March 25, 2025) advances EXL Xtrakto.AI™, a document processing solution, with multimodal table extraction and semantic search methods which allow natural-language queries within unstructured documents using advanced machine learning models to preprocess unstructured data by extracting content and generating searchable data structures.
• Knowledge Graph Creation: EXL was granted U.S. Patent No. 12,481,215 (November 25, 2025) for advanced knowledge retrieval techniques that dynamically segment content, extract concepts and relationships, and generate graph-based embeddings for fast, context-aware search. The innovation enables real-time updates as source data changes, strengthening semantic discovery and AI-driven insights across large enterprise data environments. These 2025 advancements are supported by U.S. Patent No. 11,842,286 (December 12, 2023), which covers a machine learning model for structuring complex enterprise data and U.S. Patent No. 12,033,408 (July 9, 2024), which outlines a method of contextual text recognition using prompt-guided knowledge distillation.
• Data Intelligence Layer Development: U.S. Patent No. 12400252 (August 26, 2025) for EXL Transaction Insights™ covers a method for using AI to mine deep consumer financial insights such as income strength and stability, debt obligations and other factors to assess personal financial risk. These 2025 advancements are supported by U.S. Patent No. 12,118,019 (October 15, 2024) for EXL Smart Data Signals™, which established the AI-based modeling foundation for detecting patterns, anomalies and predictive triggers across large datasets.
• Unstructured Data Extraction: U.S. Patent No. 12,253,832 (July 8, 2025) for EXL Generic NER™ focuses on context-based entity recognition within large database files.

EXLerate.ai: EXL’s agentic AI platform is designed to help enterprises reimagine workflows with the ability to seamlessly integrate EXL and third-party AI agents into their business operations. Its capabilities have been enhanced by the following patented solutions:

• AI-powered Audit: U.S. Patent No. 12,334,077 (June 17, 2025), which covers automated audio to text signal processing used in the EXL Smart Audit.AI™ solution.
• Cognitive Image Analytics: U.S. Patent No. 12387271 (August 12, 2025) for EXL Cognitive Image Analytics™ focuses on reducing network traffic associated with generating event predictions based on cognitive image analysis and powers EXL’s proprietary offering EXL Property Insights™.
• Insurance Regulatory Reporting: U.S. Patent No. 12,468,696 (November 11, 2025) for the EXL Regulatory Reporting Assist.AI™ solution significantly enhances regulatory reporting accuracy, speed, and transparency, enabling organizations to modernize compliance workflows and respond more effectively to evolving regulatory requirements using natural language queries.
• Query & Prompt Optimization: U.S. Patent No. 12,299,427 (May 13, 2025) for EXL SAMAC Copilot™ covers a method for automatically calibrating AI queries in a consistent, structured manner.
• Adaptive Communication Optimization: U.S. Patent No. 12,536,551 (January 27, 2026) uses a tensor-based reinforcement learning platform to optimize timing, tone, content and communication strategies to improve multichannel customer engagement. The innovation powers solutions such as EXL Paymentor℠, an AI-powered collections and receivables management solution.
  

LLM Fine-tuning: EXL was granted a patent for its EXL Insurance LLM™, the first industry-specific large language model (LLM) created to augment claim adjudication outcomes for bodily injury claims by enhancing adjuster efficiency, reducing indemnity costs, claims leakage, and accelerating settlement timelines. Building on this data foundation, EXL advances agentic AI for autonomous and assisted decision-making. EXL Insurance LLM is powered by more than 10 years of deep domain-specific data labeling architecture with best-in-class AI engineering, enabled by a partnership with NVIDIA, to fine-tune our models.

U.S. Patent No. 12399924 (August 26, 2025) for EXL Insurance LLM addresses unique methods for multi-model domain signal evaluation systems, which allows EXL’s LLM to achieve 20-30% higher accuracy in claims and underwriting tasks than leading general-purpose models.

For more information about EXL’s data and AI-led innovations that are transforming businesses and delivering value, please visit www.exlservice.com.

About EXL
EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity, and respect. We are headquartered in New York and have approximately 63,000 employees spanning six continents. For more information, visit www.exlservice.com.

Cautionary Statement Regarding Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL’s control. Forward-looking statements include information concerning EXL’s possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as “may,” “will,” “should,” “believe,” “expect,” “anticipate,” “intend,” “plan,” “estimate” or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties, and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL’s actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL’s filings with the Securities and Exchange Commission, including EXL’s Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws.

Contact
Media
Keith Little
media.relations@exlservice.com

FAQ

What patents did EXL (EXLS) announce on February 9, 2026?

EXL announced 10 new U.S. patents covering data ingestion, knowledge graphs, agentic AI workflows and LLM fine-tuning. According to the company, the patents (issued 2023–2026) back products like EXLdata.ai, EXLerate.ai, EXL Xtrakto.AI and EXL Insurance LLM.

How does the EXL Insurance LLM affect claims accuracy for EXLS clients?

The EXL Insurance LLM reportedly delivers 20–30% higher accuracy in claims and underwriting tasks. According to the company, the model uses over a decade of domain-labeled data and NVIDIA-enabled fine-tuning to improve adjuster efficiency and adjudication outcomes.

When did EXL launch EXLdata.ai and what does it do for EXLS customers?

EXL launched EXLdata.ai in October 2025 to unify complex enterprise data and accelerate AI adoption. According to the company, the suite makes data agentic AI-ready, supports multimodal ingestion, semantic search and knowledge graph creation for faster insights.

Which EXL patents support regulatory reporting and when were they granted?

A patent for regulatory reporting assist (improving accuracy and speed) was granted on November 11, 2025. According to the company, this patent enables natural-language queries and modernizes compliance workflows for regulatory reporting.

What business applications do EXL’s new patents enable for EXLS customers?

The patents enable applications like document processing, transaction insights, cognitive image analytics, automated audit and optimized customer communication. According to the company, these innovations aim to reduce costs, accelerate workflows and improve customer engagement across insurance, healthcare, retail and financial services.