Next-Gen AI Infrastructure

Decision Intelligence Infrastructure

Remylar transforms unstructured enterprise knowledge into decision intelligence—enabling agents to understand, explain, and continuously improve.

From Chaos to Clarity

Enterprise knowledge is scattered. Remylar unifies it.

Structured & Versioned

VERSIONED

Ingesting scattered enterprise data into a unified, versioned source of truth.

Unified Logic Substrate

PROVENANCE

Full audit trails and lineage for every decision, ensuring enterprise-grade compliance.

Adaptive Intelligence

FEEDBACK-DRIVEN

Nightly retraining cycles that continuously adapt to new data and feedback.

REMYLAR LOGIC SUBSTRATE

Enterprise-grade semantic runtime that transforms unstructured data into versioned, provenance-aware knowledge powering trusted AI autonomy at scale.

Versioned Business Logic Runtime

Every enterprise policy, transaction rule, and compliance requirement becomes a version-controlled knowledge object. Business rules are first-class infrastructure entities not buried in PDFs or prompt engineering.

Domain-Specialized Expert Circuits

Eight specialized neural circuits (MoE architecture) handle distinct finance workflows: policy extraction, fraud detection, compliance monitoring, risk assessment, transaction processing, approval routing, audit trail generation, and exception handling. Each expert adapts continuously from operational feedback.

Provenance-First Architecture

Every AI output includes immutable lineage: source data hash, policy version applied, reasoning trace, and confidence score. Complete audit trails enable regulatory compliance (SOX, Basel, GDPR) without manual documentation.

Continuous Adaptive Learning

Daily retraining cycles ingest human feedback, system outcomes, and edge case discoveries. The substrate self-improves at machine speed — not quarterly manual updates. Your intelligence layer gets smarter with every decision processed.

Three Innovations No Other AI System Offers

Semantic Conflict Detection

Problem:Finance defines 'revenue' = Sales - Refunds. Sales defines it as Gross Sales. Agents pick arbitrarily.
Solution:Remylar detects conflicts during ingestion and blocks ambiguous queries until context is resolved.
Zero semantically-wrong decisions.

Cross-Agent Intelligence Transfer

Problem:Train agents on Gemini for 6 months. Switch to Claude. Restart from zero.
Solution:All learned patterns stored in Remylar. New agents inherit 6 months of logic instantly.
Model switching is a 1-day operation.

Temporal Provenance Engine

Problem:Regulator asks: 'What was your rule on Sept 10?' Logs take 2 hours to reconstruct.
Solution:Every rule has valid_from/to timestamps. Time-travel queries answer in seconds.
Regulator-ready audit trails instantly.

One Infrastructure Layer. Every Agent Aligned.

Extract + Unify

Turn Policy Chaos Into Clarity

  • Ingest from everywhere: PDFs, ERPs, emails
  • Detect conflicts: Force clarification
  • No hallucinations: Triple-path extraction

"Whether it's T&E policies or insurance claims—same system, different domains."

Decide + Enforce

Every Agent Gets the Same Answer

  • Context-aware decisions: Same rule, different scope
  • Zero drift: Policy changes sync in milliseconds
  • Selective escalation: Humans review edge cases

"Same API for expense approvals, contract reviews, or claims processing."

Learn + Transfer

Intelligence That Improves Collectively

  • Learn from decisions: Detect hidden patterns
  • Formalize tribal knowledge automatically
  • Cross-agent transfer: New agents inherit logic

"Collective intelligence layer: Shared patterns make all agents smarter."

The Technology Behind Enterprise Decision Intelligence

LAYER 1: Semantic Conflict Detector

Detects ambiguous terms, forces context

Explore Layer →

LAYER 2: Triple-Path Extraction

Vision + Layout + Reasoning consensus

Explore Layer →

LAYER 3: Decision Runtime (API)

<200ms response, full provenance

Explore Layer →

LAYER 4: Intelligence Transfer

Continuous learning across agents

Explore Layer →

One Infrastructure. Every Workflow.

Scroll to explore Remylar across different domains

Finance Workflows

Private Beta
Expense approvals (T&E)
Procurement
Contract authority
Revenue recognition
Others

Remylar processes Finance workflows across semantic conflict detection, temporal versioning, and multi-agent synchronization.

Healthcare Workflows

Coming Soon
Insurance claims processing
Prior authorization
Benefits eligibility

Same Remylar infrastructure. Different domain. We're building Healthcare workflows with our initial design partners.

Insurance Workflows

Expanding Soon
Underwriting rules
Claims adjudication
Fraud detection

Following Finance success, Insurance workflows are next in our expansion.

Custom

Your Workflow
Your unique challenge
Complex logic
High compliance

Your workflow here? Tell us what you're building.

How Remylar Compares

FeatureRemylarRAGKGOrch
Semantic conflict detect
Context-aware decisions
Cross-agent transfer
Temporal provenance
Regulator-ready audit
RAG = RAG Systems | KG = Knowledge Graphs | Orch = Agent Orchestrators

Building the Enterprise AI Operating System

TODAY (Q4 2025)

Decision Intelligence Layer

  • Semantic conflict detection
  • Enterprise policy inference
  • Immutable audit trails
EXPANDING (2026)

Multi-Workflow Orchestration

  • Cross-domain pattern learning
  • Advanced causal reasoning
  • Predictive policy evolution
VISION (2027+)

The Agent Operating System

  • Every enterprise AI agent queries Remylar for authoritative business logic.
  • Built on our custom-engineered AI architecture.
"Just like every app queries PostgreSQL for data, every enterprise agent will query Remylar for business logic that scales across agents, models, and time."
Yashas Gunderia, Founder & CEO

Frequently Asked Questions

Ready to Eliminate Agent Chaos?

Design Partner
Qualified Enterprises

You're deploying AI agents to make critical business decisions. Join our design partner program for early access.

Contact Sales
Limited to select enterprises
Custom Use Case
Exploratory

Your workflow doesn't fit the categories above? Tell us your unique AI challenge.

Tell Us Your Challenge
We discover new use cases from customers
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Low Commitment

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Questions? Email us directly:

contact@remylar.com