Skip to main content
Book a Demo

Blog

Latest from MidLyr

Perspectives on AI agents, regulatory compliance, and the infrastructure powering them in financial services.

Product

We built the LLM wiki for banking compliance

An AI compliance agent can pull up the right rule, quote the right line, and still get it wrong in a way that matters. The fix is better structure around the model. So we built a wiki the model reads, one that maps how banking rules connect before the agent answers.

Read →
Engineering

Evaluating AI agents for regulatory compliance

A compliance answer can read perfectly and still be wrong in a way that matters to a regulator. Here's the engineering behind how we tell the difference — the benchmark, the LLM judges, the data pipeline, and the expert calibration that keeps it honest.

Read →
Engineering

How to connect your AI agents to compliance with BaseLyr

BaseLyr is Midlyr's integration layer for AI agents. Two ways to wire it in — connect over MCP so the agent screens and fixes its own output, or call the Analysis API directly from your pipeline — plus when to use the fast risk score vs. the deep screening.

Read →
AI AGENTS
Product

Introducing RegLyr: Navigating the Maze of Regulations

In regulated industries, the hard question isn't whether an AI agent can do the task—it's whether it knows which rules apply before it acts. How Midlyr's RegLyr turns scattered regulation into business-specific context for agents.

Read →
INIT VERIFY LOG AUDIT SEAL T+0.2s T+0.4s T+0.6s T+0.8s
Product

Inside the Midlyr Screen Analysis API: The Backbone for Agentic Compliance

How we replaced generalized LLM guessing with a structured orchestration engine that mathematically proves agent output is compliant—before it reaches a customer.

Read →
LEGACY TRANSFORM AI-NATIVE
Product

Introducing the Midlyr API: Compliance Infrastructure for the Agentic Enterprise

The Midlyr API is the compliance primitive for the agentic enterprise—giving internal engineering teams the regulatory data and governance controls to safely build, screen, and deploy AI agents in production.

Read →
AI AGENTS
Perspective

Governing the Agentic Enterprise: Why We Need a Compliance API More Than Ever

Internal engineering teams are building armies of autonomous agents. Without a compliance primitive, financial institutions will quickly build an unmanageable pile of regulatory issues.

Read →
INIT VERIFY LOG AUDIT SEAL T+0.2s T+0.4s T+0.6s T+0.8s
Research

Why ChatGPT and Claude Can't Handle Bank Regulatory Compliance

General-purpose LLMs perform well on isolated regulatory questions. Ask ChatGPT or Claude about a specific BSA/AML requirement or FDIC filing rule and you'll often get a sharp, well-reasoned answer. But regulatory compliance at a bank isn't isolated questions — it's multi-step analysis across overlapping federal and state frameworks, with institution-specific context that builds from one step to the next.

Read →
LEGACY TRANSFORM AI-NATIVE
Industry

The two futures of AI in banking

Almost every bank AI discussion focuses on internal operations. But the more consequential question is what happens when customers start banking through AI.

Read →
AI AGENTS
Industry

Why AI assistants are the next banking channel

How ChatGPT, Claude, and Gemini are changing the way customers interact with financial services.

Read →
INIT VERIFY LOG AUDIT SEAL T+0.2s T+0.4s T+0.6s T+0.8s
Product

Authenticating AI agents: the hardest problem in AI banking

A deep dive into how MidLyr securely verifies AI agents acting on behalf of bank customers.

Read →
LEGACY TRANSFORM AI-NATIVE
Product

Compliance as an evolving API

Why compliance should behave like infrastructure — always on, always connected, always adapting to regulatory change.

Read →
AI AGENTS
Engineering

Building reliable AI agents for financial services

How we design AI agents that financial operations teams can actually trust — through iteratable artifacts, human-in-the-loop, and early evaluation.

Read →
INIT VERIFY LOG AUDIT SEAL T+0.2s T+0.4s T+0.6s T+0.8s
Company

MidLyr raises $2.5M pre-seed to redefine how banks operate in the age of AI

MidLyr has raised $2.5 million in pre-seed funding led by Silicon Badia to build AI infrastructure for banking operations.

Read →

Control your AI-driven future.

Join global financial leaders managing AI regulatory risk with MidLyr's compliance infrastructure.

Sign Up Book a Demo