Predicate Ventures

Projects

Agentic engineering for high-risk, high-security environments. The work spans ontologies and knowledge graphs, multi-agent orchestration, NLP over regulatory and contract text, and the cloud infrastructure underneath. It runs across industries and company maturity levels.

What follows is the work itself, with the architecture described rather than asserted. Where a number is published it came from a repository or an engagement. Where one is missing, it is missing on purpose.

Capabilities

  • Ontologies & knowledge graphs

    RDF graphs with SHACL validation, entailment and provenance on every fact.

  • Agentic orchestration

    Dependency graphs, approval gates and reproducible runs across agent fleets.

  • NLP & information extraction

    Typed extraction from documents, receipts and contracts, with spans kept.

  • Data science & evaluation

    Eval harnesses, gold sets and published baselines instead of impressions.

  • Cloud infrastructure

    Fargate and Terraform, with encryption and IAM boundaries enforced by design.

  • Regulated & high-security environments

    Audit trails, human gates and controls that hold up under review.

  • Architecture & developer experience

    API design and platform engineering that other engineers can pick up.

Platforms for AI agents

Systems other things are built on.

Rooben

Live

Open-source governance for AI agents in production.

A control plane between your agents and your budget. Rooben caps spend per run, standardizes how work is dispatched, and keeps an auditable record of what each agent did.

Atlas

Deployed

A cloud knowledge graph that gives AI agents memory, with provenance on every fact.

A cloud, RDF-grounded memory substrate. Atlas runs on ECS Fargate in its own AWS account. It ingests documents, mail, calendar and code, and resolves them into typed entities with provenance on every fact. It serves the graph through an HTTP API and MCP tools.

Keel

Live

Autonomous coding that lands as pull requests, never as merges.

A single-operator autonomous-coding and gated-deploy system. A Temporal orchestrator drains a cross-repo plan graph and runs each phase with a coding agent in an ephemeral worker. The work lands as a pull request, and infrastructure changes pass a human-approved airlock.

Proof Point Studio

Internal

Short product reels recorded from real, running software.

Internal tooling, not a product. An agent reads a repository’s own documentation and proposes value-ranked demo capabilities. It builds each one into a real interactive page, records it, and assembles the footage into a short reel.

Products

Things people use. Two are live and billable, one is an open-source library, one publishes this site.

Clausebook

Live

HIPAA redlining playbooks the lawyer owns.

Build a Business Associate Agreement redlining playbook through an adaptive interview, then apply it to a real uploaded BAA. Clausebook splits the document into clauses, classifies each against an ontology and your playbook, and drafts redlines cited to HIPAA authority.

Tough Crowd

Live

Feedback from 20 users, before you have 20 users.

Drop in a URL. Synthetic personas research your market, then use your product in live browser sessions, click by click. Each run returns a scorecard, friction findings pinned to the step that produced them, and a ranked fix-list.

voice-of-agents

Alpha

Beta users lie. Simulate them honestly.

An MIT-licensed Python library that simulates user research with Claude. It hands the resulting personas to a live browser-based eval harness that navigates your real product. Published on PyPI.

Content Engine

Live

The publishing pipeline behind this site.

A multi-tenant content service: keyword and SERP research, model-assisted drafting, Postgres storage, and a versioned read API that consuming sites fetch. This site is one tenant, and Content Engine serves every article on /writing.

Client engagements

Client work, from a consumer marketplace at scale to federal audit evidence. A mortgage lender and a federal agency are end clients reached through Policy Edge AI.

Whop

Complete

The trust, fraud and data infrastructure behind a $1.6B social commerce platform.

Executive advisory and hands-on engineering through a period of rapid scaling. Built the content moderation platform, the fraud detection system and the foundational data platform. Led the data strategy that aligned business decisions around them.

Policy Edge AI

Deployed

Compliance AI architecture for a govtech platform.

Worked with founder Christina Heintze Seavers to turn scattered regulatory documentation into an AI architecture and an execution plan. Built the prototypes that retired the critical unknowns early, then engineered the governed platform underneath. That work now reaches two regulated end clients through Policy Edge AI: a mortgage lender and a federal agency.

“Blake came into a messy situation and quickly turned a big vision and scattered documentation into a platform we could actually deliver. By building the right prototypes early, he helped us answer the biggest open questions and move forward with confidence. He brought clarity and momentum exactly when we needed it.”

Christina Heintze Seavers, Founder & CEO, Policy Edge AI

Explorations

Ideas tested or still being tested. Some become products, most do not. Listed because the failures inform the consulting as much as the wins do.

LEAN Startup Vetting Platform

Exploring

Validate demand before you build, programmatically.

Automates the fake-door test. It spins up landing pages, runs targeted campaigns and tracks real conversion signals. The goal is to find cohorts with actual purchase intent before writing product code.

Write-up in progress

Employment Law Triage

Exploring

Help individuals find out whether they have a case.

An intake system for someone who does not know whether they have a claim. It asks the right questions and gives preliminary guidance. That is a different problem from redlining contracts for counsel, which is what Clausebook does.

Write-up in progress

Goals & Purpose SaaS

Exploring

Accountability that sticks, with meaning built in.

Connects daily actions to a stated purpose, on the theory that checking boxes fails because it never explains why the box mattered.

Write-up in progress

AI in Education Launch Program

Exploring

Make AI adoption safe and practical for schools.

Ready-to-deploy pilots with guardrails, plus curriculum scaffolds, for administrators who need to move without breaking trust.

Write-up in progress

Inside Politics Investment Thesis

Archived

Political intelligence as structured data for investors.

Structured political data primitives for quantitative research. Archived after validating the pipeline; the insight carried into consulting work instead.

Write-up in progress

Want to dig into any of this?

Atlas and Keel have documented API surfaces, and the open-source work is on GitHub. The architecture write-ups above are the real thing, not a summary. If something here is close to a problem you have, say so.