DARIL.Ai
Document Analysis, Rendering & Intelligence Layer
The infrastructure documents are built on.
The Vision

The Stripe for document generation.

Stripe made payments programmable and guaranteed. DARIL does the same for documents. A single deterministic layer that any system, agent, or workflow calls when it needs to produce a reliable document. Same inputs, same output, every time.

The Problem

AI agents are everywhere. Reliable documents are not.

Every enterprise is deploying AI agents across sales, legal, compliance, procurement, and finance. When those agents need to produce documents, they have two options today. Both are broken.

AI Generation

Fast and flexible—but fundamentally probabilistic. Every output is a new roll of the dice. A hallucinated clause, a missing carveout, an invented term—all rendered in fluent, confident prose. That's not automation. That's liability.

Legacy Automation

Deterministic but rigid—and it doesn’t scale. Hand-coded conditional logic in proprietary markup languages. $50K and 8–12 weeks per document set. Most organizations plateau at a handful of templates before hitting the authoring wall.

The Solution

DARIL is the third option.

Shared infrastructure that any agent calls. Upload a document or describe what you need. DARIL discovers the logic, codifies it through conversation, tests every permutation automatically, and renders documents with algorithmic precision. AI is the interface. The platform is the guarantor.

Human + DARIL

A guided experience where domain experts author and consume templates through conversation. What took months of specialized development takes hours.

AI via MCP

Any LLM generates documents through DARIL via the Model Context Protocol. The model handles reasoning. DARIL guarantees the output.

Agent / API

Fully headless. Agentic workflows call DARIL directly—no human in the loop. Autonomous document production with deterministic correctness.

Why Now

Five convergent forces.

2023
LLMs Infer Structure
Language models crossed the threshold where they can reliably infer document structure and semantics—enabling inductive discovery and conversational authoring rather than manual encoding.
2024
The Coding Agent Paradigm
The same model that lets developers converse with AI to write code now lets domain experts converse with AI to author templates. The interaction model is proven.
2024–2025
MCP Creates the Distribution Layer
Anthropic's Model Context Protocol allows DARIL to sit underneath enterprise AI tools as callable infrastructure. This transforms DARIL from a product into a layer.
2026+
Regulation Demands Determinism
The EU AI Act, Colorado's AI Act, and emerging legislation require auditability, explainability, and human oversight for AI-produced documents. DARIL is compliant by architecture, not by process.
2026+
Agentic Ecosystems Take Flight
Agent-to-agent ecosystems are becoming the backbone of enterprise workflows. They need a first-class deterministic document layer. That layer is DARIL.
The Team

We didn't research this problem. We lived inside it for 20 years.

Founding team of Contract Express—one of the most successful document automation platforms ever built. Acquired by Thomson Reuters.

Geoff Goldberg
Co-Founder
20-year pioneer in document automation. Founding team at Contract Express (VP/GC, Product Manager). Director of Document Automation Services at Thomson Reuters. Knows exactly why the first generation didn't scale—and what it takes to fix it.
Anatoly Soyfer
Co-Founder
MBA. CMO of Contract Express, where he drove 300% ARR growth and scaled the business from $1M to $40M ARR in under three years. Integrated Contract Express into Thomson Reuters' product portfolio post-acquisition.

DARIL is in private development. We're selectively engaging enterprise design partners and investors.

or reach us directly at info@daril.ai

About the Shape

No, it's not an abacus.

The shape at the top of the page is a stellated octahedron—a structure you've seen in bridge trusses, space frames, and molecular models. It's one of the most efficient load-bearing geometries in engineering. We chose it because DARIL is infrastructure, and this is what infrastructure actually looks like.

Opposing pyramids sharing a rectangular base that represents a document. Each apex projecting onto it—where intelligence meets structure. That's DARIL in one shape.

The small spheres moving along the edges aren't decorative either. Each color represents a step in the workflow:

AI Suggestion
Approval
Template
Document

AI suggests. A human approves. A template is created. A document emerges. Watch long enough and you're watching DARIL work.

We considered simpler shapes. A sphere felt generic. A cube felt rigid. This was the only geometry that said everything at once—infrastructure and intelligence, structure and motion, something ancient and something inevitable.

Curious? Let's talk about it →