Multimodal Is Pioneering Tailored Agentic AI Solutions for Businesses

Large language models (LLMs) have shattered a long-held belief that sophisticated, high-value tasks can only be done manually by human experts. However, most organizations are still far from experiencing the full impact of these models.

While many are using AI to perform low-level tasks or assist with isolated functions, they’re missing out, unable to fully leverage its capabilities, unlock end-to-end workflow automation, and augment their teams.

Our solution? Radically verticalized AI Agents. We configure ours not just for specific industries (insurance and banking), but also for specific use cases and using company-specific data.

This, we believe, is key to unlocking meaningful transformations and driving progress.

The Problem With Generic Agentic AI

Generic Agentic AI have several flaws that prevent organizations from fully harnessing the potential of this transformative tech:

• Lack of oversight, explainability, and transparency - Generic Agentic AI models often function as black boxes, making it difficult to trace their reasoning or verify compliance. The lack of transparency increases risk exposure and regulatory challenges.

• Lack of reliability and confidence scoring - Most Agentic AI models don’t provide confidence levels for their reponses, making it difficult for organizations to assess risk or validate inputs. Such unreliability poses a major issue in high-stakes decision-making, where accuracy is critical.

• Limited access to real-time and proprietary data - Financial and insurance decisions rely on up-to-date market trends, policy changes, and proprietary data. Generic Agentic AI Agents lack access to this information, which leads to outdated or irrelevant recommendations.

• Lack of specialization - Off-the-shelf AI Agents are designed for broad applications rather than industry-specific workflows. Without domain expertise, they fail to handle financial regulations, claims processing, risk assessments, and other specialized tasks.

• Lack of adaptability and control - AI Agents that don’t adapt to business rules or provide sufficient user control hinder widescale automation.

Our goal is to solve these issues through a single, unified platform, AgentFlow, that lets businesses build, deploy, and manage AI workers for multiple workflows.

Our Solution - Purpose Built for Insurance and Banking

We believe the key to making AI Agents truly efficient and profitable lies in specialization, adaptability, and continuous improvement. Our AgentFlow platform provides all three through the following core capabilities.

Purpose-Built for Insurance and Banking

We’re dedicated to industries where precision, compliance, and reliability are critical.

Our platform comes with features designed specifically for financial and insurance workflows:

• Self-learning and feedback loops - AI workers continously improve based on real-world interactions, ensuring better performance over time.
• Confidence scores - Every decision is backed by transparent metrics, helping teams assess reliability before acting.
• Explainability - Our AI Agents provide clear reasoning for their outputs, ensuring teams understand why and how each decision was made.
• Audit logs - Every interaction is logged, making compliance reporting seamless for regulatory teams.
• Industry-specific AI Agents - We tailor AI Agents to address specialized workflows, such as underwriting, fraud detection, claims processing, and risk assessment.
• Company data training - We enable AI Agents to securely access and learn from proprietary financial and insurance data, eliminating the risk of generic, irrelevant outputs.
• Multi-Agent systems for complex workflow automation - Agents collaborate to streamline complex, multi-step processes, such as claims handling or loan approvals.

By providing an all-in-one service and prioritizing a deep understanding of our customers’ unique needs, we’re able to take their efficiency, productivity, and competitiveness to the next level — a level they couldn’t achieve with even the most advanced off-the-shelf agents.

Our Qualifications

Extensive model tailoring requires a high level of technical expertise, so we made sure to assemble a global team of experts.

Our team consists of experienced NLP, ML, data, and MLOps engineers and researchers, many of whom have prior experience in founding advanced tech startups.

Our founder, Ankur Patel, has already founded and led several successful AI startups, including Glean AI and R-Squared Macro. He also has extensive experience in natural language processing, unsupervised learning, data science, and finance.

Some of his accomplishments include working as the lead emerging markets sovereign credit trader for Bridgewater Associates, leading data science efforts for AI firm ThetaRay in NYC, and serving as the vice president of data science at 7Park Data, which Vista Equity Partners acquired.

Ankur has written two technical books in artificial intelligence with O’Reilly Media, Natural Language Processing in the Enterprise and Hands-on Unsupervised Learning Using Python, and an Enterprise Guide to Large Language Models for NVIDIA. He also teaches AI at the Open Data Science Conference (ODSC) and regularly speaks on applying AI in business at meetups and conferences.

Today, we’re dedicated to lending our expertise to organizations that want to transform how they work and how they position themselves on the market.

Driving AI Efficiency Today And Building for What’s Next

At the moment, we’re laser-focused on helping organizations work faster, reducing their tech debt and TCO (total cost of ownership), and drastically improving their AI ROI.

To achieve this, we have built and are continuing to refine AgentFlow—an all-in-one, API-first platform for building and managing AI Agents across organizational workflows. It acts as a layer between:

• our process, search, decide, and create AI Agents;
• your human supervisors;
• third-party APIs and other systems your company currently has in place.

This enables a seamless orchestration of all your AI Agents and human operators from a single platform, making management easier while eliminating duplicative costs.

Besides AgentFlow, our experts design highly tailored solutions for each department, and our customers are already experiencing significant revenue increases and time and cost savings.

Interested in seeing how our models work in action in the meantime? Feel free to schedule a free 30-minute demo with our experts today.