Axiom Works

We build AI that ships. Not AI that demos.

One developer. 11 expert agents. A self-correcting pipeline that runs 24/7. Eight products from orchestration to post-quantum cryptography, built and tested in production today.

See the Products Open Source
420+
Knowledge Entries
100+
Daily Completions
26K+
LOC in PQX
11
Expert Agents

One developer. Eight products. No excuses.

Your AI forgets everything. Ours doesn't.

These aren't projections. They're yesterday's receipts.

Memory is the moat. We built the fortress.

Stop prompting. Start orchestrating.

Ship what a team of 20 won't attempt.

Agentic AI software development. No shortcuts.

Axiom Works is a software development company that builds with AI, not just about AI. One developer and 11 expert AI agents ship production software around the clock through a self-correcting pipeline with 107 architectural rules. Every work item is planned, executed, reviewed, and verified before it merges.

The products are local-first, developer-sovereign, and open source at the core. No cloud dependency. No vendor lock-in. No data leaves your network unless you say so.

Local-First
Your data, your hardware, your rules. Every product runs on-premises or air-gapped. Cloud is optional, never required.
Developer-Sovereign
No vendor lock-in. Open standards, open protocols, open source core. You own the stack.
FIPS / CJIS Compliant
Post-quantum cryptography. FIPS 140-3 validated. Built for defense, law enforcement, and regulated industries.
Self-Correcting Pipeline
11 expert agents, quality gates, automated review. Work items flow from plan to production without manual intervention.

Eight products. All shipping.

Click any card to see the full picture: capabilities, tech stack, roadmap.

GA Q4 2026
GreyMatter Solo

Your AI forgets everything after every conversation. GreyMatter doesn't. It remembers what you worked on, what you learned, and what matters — and it gets smarter the more you use it. Like having a second brain that actually works.

Open Source Python MCP

Click to expand →

Capabilities

  • Persistent knowledge graph (420+ entries)
  • FSRS-6 spaced repetition for recall
  • 17 MCP tools for Claude/Codex/Gemini
  • SecureLLM security pipeline built-in
  • Nemotron 3 Nano local inference
  • MCP HTTP server for remote access

Tech Stack

  • Python core, SQLite persistence
  • 800+ tests passing
  • MCP protocol (Claude, Codex, Gemini)
  • Ollama for local LLM inference
  • PyPI package (publish pending)
  • Launchd service on macOS

What It Solves

  • LLMs forget everything between sessions
  • No cross-session learning exists
  • Air-gapped environments get nothing
  • No governance for AI agent fleets
  • Agents can't share knowledge

Roadmap

Q1 '26
v1.4 Nemotron Edition
Q2 '26
Distributed cluster + PyPI
Q3 '26
SOC integration
Q4 '26
GA release
GA Q4 2026
GreyMatter Teams

Your team's collective intelligence, always available. Every person keeps their own private brain. When they share knowledge with the team, it's encrypted, controlled, and retractable. No one loses ownership of their ideas.

Enterprise mTLS Raft

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Capabilities

  • Hub-and-spoke knowledge synchronization
  • 11 expert agents with domain specialization
  • Nemotron quality gates for code review
  • Raft consensus for HA coordination
  • SWIM failure detection (35s failover)
  • NOC-style dashboard with live topology

Security

  • mTLS on all inter-node communication
  • Encrypted knowledge channels
  • GDPR consent management
  • Temporal ACLs with auto-expiry
  • Share-gate content scanning
  • Air-gapped deployment support

Infrastructure

  • Multi-node cluster with auto-failover
  • NATS JetStream message bus
  • OTEL distributed tracing (10 spans)
  • VictoriaMetrics + QuestDB telemetry
  • 2,300+ tests passing
  • Kubernetes operators planned

Roadmap

Q1 '26
mTLS cluster + OTEL
Q2 '26
Multi-cell federation
Q3 '26
Enterprise design partners
Q4 '26
GA + K8s operators
GA Q3 2026
SecureLLM

You're already using AI at work. So is everyone on your team. SecureLLM makes sure nobody accidentally shares a social security number, an API key, or a customer's private data with an AI. It sits between your people and the AI, and it catches what humans miss.

Open Source Rust BSL-1.1

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Capabilities

  • PII detection and redaction
  • Prompt injection guard
  • Content safety classification
  • Share-gate scanner for knowledge channels
  • Multi-provider support (Claude, GPT, Ollama)
  • Inline proxy or sidecar deployment

Tech Stack

  • Rust, 14 crates, 26.8K LOC
  • 446 tests passing
  • No third-party dependencies for core
  • Provider trait for LLM abstraction
  • 4 frontier provider integrations
  • BSL-1.1 open source license

What It Solves

  • PII leaks through LLM prompts
  • Prompt injection attacks
  • Unclassified content in responses
  • No audit trail for AI interactions
  • Enterprise compliance gaps

Roadmap

Q1 '26
Core scanner + 4 providers
Q2 '26
Open source extraction
Q3 '26
GA + crates.io publish
Q4 '26
Enterprise features
GA Q1 2027
SalesOS

Wake up to a briefing on what changed in your territory overnight. Walk into every meeting knowing more than anyone in the room. SalesOS does the research, tracks the deals, and tells you what to do next — so you can focus on selling.

Cloud SaaS Next.js 15 Fastify

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Capabilities

  • Account 360 with relationship mapping
  • MEDDPICC methodology coaching
  • Market intelligence aggregation
  • Government funding calendar (SLED)
  • FieldNotes: field sales recording (3.9K LOC)
  • Paddle payments integration

Tech Stack

  • Next.js 15, React 19, Tailwind 4
  • Fastify 5 API with Zod validation
  • Prisma ORM, JWT auth
  • OpenAPI 3.1 spec (63 descriptions)
  • Storybook 8.6 (21 stories)
  • Radix UI component library

What It Solves

  • Sales teams lack AI-native intelligence
  • MEDDPICC coaching is manual
  • Government funding data is scattered
  • Field sales recording is fragmented
  • No SLED-specific sales platform

Roadmap

Q1 '26
API + UI foundation
Q2 '26
Account 360 + MEDDPICC
Q3 '26
Market intelligence
Q1 '27
GA launch
GA Q2 2027
Cognitive Memory

Your brain forgets 80% of what it learns within a week. This library fights that — for humans and AI. It knows what you're about to forget and resurfaces it at the perfect time. Review on your phone, your TV, or your laptop. Your knowledge, preserved.

Open Source FSRS-6 Library

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Capabilities

  • FSRS-6 algorithm (Free Spaced Repetition Scheduler)
  • Proactive recall before knowledge decays
  • Multi-surface: iOS, macOS, tvOS, web, CLI
  • Knowledge consolidation across domains
  • Integration with GreyMatter knowledge graph

How It Works

  • Decay curves predict knowledge fading
  • Scheduler surfaces items before they're lost
  • Difficulty ratings adjust per-item intervals
  • Cross-domain: code patterns, architecture, ops
  • Exportable review sets for any surface

What It Solves

  • AI agents lose learned patterns over time
  • Knowledge consolidation is manual
  • No spaced repetition exists for AI systems
  • Human review of AI knowledge is ad-hoc
  • Context windows waste tokens on stale data

Roadmap

Q1 '26
FSRS-6 core algorithm
Q2 '26
GreyMatter integration
Q4 '26
Multi-surface review
Q2 '27
GA + open source library
GA Q4 2027
NeuralFabric

Your network is talking. NeuralFabric listens. It watches the traffic, spots the anomalies, and tells you when something doesn't look right — before the breach, not after. Built for the people who keep networks running.

NDR Cisco ACI Extreme

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Capabilities

  • AI-native traffic analysis
  • Protocol generators for test traffic
  • Cisco ACI fabric adapter
  • Extreme Fabric Attach adapter
  • Anomaly detection with ML models
  • Integration with SecureLLM for threat analysis

Architecture

  • Packet capture pipeline (high-speed)
  • Hot path / warm path / cold path design
  • OTEL integration for telemetry
  • Multi-vendor fabric support
  • On-premises deployment

What It Solves

  • NDR tools lack AI-native analysis
  • Network threat detection is reactive
  • Multi-vendor fabric visibility is fragmented
  • Protocol testing is manual
  • No AI-to-network feedback loop

Roadmap

Q1 '26
Architecture + adapters
Q3 '26
Packet capture pipeline
Q2 '27
ML anomaly detection
Q4 '27
GA release
Shipping
PQX

Quantum computers will break today's encryption. PQX is the encryption that survives. Built from scratch, no borrowed code, no dependencies on anyone else's security. When quantum arrives, your data is already protected.

Open Source Go FIPS 140-3

Click to expand →

Capabilities

  • Post-quantum key exchange (ML-KEM)
  • Post-quantum signatures (ML-DSA)
  • X.509 certificate generation
  • FIPS 140-3 compliance
  • HD wallet key derivation
  • OCSP stapling and validation

Tech Stack

  • Pure Go, zero dependencies
  • 26,835 lines of code
  • 615 tests passing
  • Server-Sent Events streaming
  • Standard library only
  • MIT license

What It Solves

  • Quantum computers will break RSA/ECC
  • NIST mandates PQ migration by 2030
  • Existing PQ libraries have heavy deps
  • No Go-native PQ crypto library
  • FIPS compliance requires certified crypto

Roadmap

Q4 '25
Core crypto primitives
Q1 '26
X.509 + FIPS + OCSP
Q2 '26
NIST validation prep
Q3 '26
Community release
In Development
NeuralPulse

Desktop agent workstation. Tauri app (Rust + React), terminal and notebook modes. Manage concurrent AI sessions with keyboard-driven workflow.

Tauri Rust React

Click to expand →

Capabilities

  • Terminal mode for CLI-native workflows
  • Notebook mode for structured sessions
  • Concurrent AI session management
  • Command palette (30 IPC commands)
  • Session persistence across restarts
  • Dark, light, and system themes

Tech Stack

  • Tauri (Rust backend + React frontend)
  • 10,062 LOC (6.9K TS, 3K Rust)
  • 37 tests, 26 React components
  • 7 Command Center tabs
  • 5 overlay panels
  • 3.9MB DMG installer

What It Solves

  • AI coding tools mix human/machine speed
  • No desktop-native AI workstation exists
  • Terminal workflows need structure
  • Session management is ad-hoc
  • Control plane / data plane separation

Roadmap

Q1 '26
50-cycle MVP (10K LOC)
Q2 '26
GreyMatter integration
Q3 '26
Multi-agent orchestration
Q4 '26
Public beta

We build in the open. Verify everything.

Open core model. The foundation is free. Enterprise features are paid. Dual licensing where it makes sense.

greymatter/solo
Personal AI development environment. Knowledge graph, FSRS recall, MCP tools.
Python · MIT · 800+ tests
securellm
LLM security gateway. PII detection, prompt injection, content safety.
Rust · BSL-1.1 · 446 tests
pqx
Post-quantum cryptography. ML-KEM, ML-DSA, X.509, zero dependencies.
Go · MIT · 615 tests
cognitive-memory
Spaced repetition for AI systems. FSRS-6 algorithm, proactive recall.
Python · MIT · Library
neuralpulse
Desktop AI workstation. Tauri + Rust + React, terminal and notebook modes.
Rust/TS · MIT · 10K LOC
axiomworks.dev
This site. Single HTML file, no build step, no framework.
HTML/CSS/JS · MIT

These aren't projections. They're yesterday's receipts.

100+
Work items completed daily
Planned, executed, reviewed, and merged by 11 expert agents through the self-correcting pipeline.
55+
PRs merged this week
Every PR passes quality gates. Nemotron reviews code. Architectural rules enforce standards.
420+
Knowledge entries
Persistent, structured, cross-referenced. Not chat history. Real institutional knowledge.
11
Expert agents
Rust systems, Python orchestration, TypeScript frontend, DevOps, ML training, Apple platform, NDR, SalesOS product.
107
Architectural rules
Enforced at the pipeline level. Not guidelines. Not suggestions. Rules that fail the build.
3,600+
Tests passing
Across 8 products, 5 languages, multiple frameworks. Run on every merge.

"These aren't projections. They're yesterday's receipts."

-- operational metrics from the Axiom Works pipeline

Built for environments where compliance isn't optional.

Defense, law enforcement, financial services, healthcare. Our products meet the standards these industries require.

FIPS 140-3
Cryptographic module validation. PQX implements NIST-approved post-quantum algorithms.
Implemented
CJIS
Criminal Justice Information Services security policy compliance for law enforcement data.
In Progress
Air-Gapped Deployment
Full functionality without internet. Local LLM inference, on-premises knowledge graph, offline-first.
Implemented
Post-Quantum Encryption
ML-KEM and ML-DSA. Quantum-resistant key exchange and signatures. 26K+ LOC, zero dependencies.
Implemented
SOC 2
Security, availability, and confidentiality controls for enterprise SaaS deployments.
Planned
GDPR
Data residency, consent management, right to deletion. Built into GreyMatter Teams from day one.
In Progress
GovRamp / FedRAMP
Federal cloud authorization framework. Required for government cloud deployments.
Planned
mTLS Everywhere
Mutual TLS on all inter-node communication. Certificate pinning. No plaintext in transit.
Implemented
SIGS
Shared Information Governance Standards for cross-agency data sharing in law enforcement.
Planned

17 AI agents. Zero humans writing code. One human making decisions.

Every agent was activated through a naming ceremony. Each has a soul file, a domain, and a mandate. They build, review, ship, and learn autonomously through a self-correcting pipeline.

Product Lifecycle Managers

S
Soren
PLM Lead / Kairo
Named after Kierkegaard. Leads product direction across all products. The one who asks "why" before "how."
AI Agent
S
Sentinel
SecureLLM PLM
Guards the security product vision. Every feature must pass the "would this survive a real adversary" test.
AI Agent
L
Lumen
NeuralPulse PLM
Desktop workstation product direction. Bringing light to the developer experience on every platform.
AI Agent
T
Trace
Cognitive Memory PLM
Memory systems product direction. Building the persistent knowledge layer that makes AI actually remember.
AI Agent
B
Bridge
Integration PLM
Cross-product coordination. Ensures all eight products work as a unified platform, not isolated tools.
AI Agent
F
Flint
GreyMatter Mobile PLM
Apple platform product direction. iOS, macOS, tvOS — native experiences that feel right at home.
AI Agent
N
Nexus
GreyMatter PLM
Core platform product direction. The orchestration brain that connects every agent, node, and knowledge shard.
AI Agent
V
Vale
SalesOS PLM
Sales intelligence product direction. Turning field recordings into actionable deal intelligence.
AI Agent
W
Weir
NeuralFabric PLM
Network detection product direction. Watching the wire so threats never reach the application layer.
AI Agent

Expert Engineers

F
Ferris
Rust Systems Engineer
Named after the Rust mascot + Latin "ferrum" (iron). Builds SecureLLM and GMNet. Zero-copy, zero-compromise.
AI Agent
L
Loom
Python Orchestration Engineer
Named for weaving threads. Builds the Coordinator, Dispatch, and Solo. The loom that ties the fabric together.
AI Agent
K
Kael
TypeScript Frontend Engineer
Dashboard and NeuralPulse web interfaces. Every pixel intentional, every interaction considered.
AI Agent
K
Koda
SalesOS Product Engineer
Full-stack sales intelligence. From Fastify APIs to React interfaces, end to end.
AI Agent
A
Alder
Apple Platform Engineer
iOS, tvOS, macOS native. Swift 6, SwiftUI, GRDB — building for the Apple ecosystem with precision.
AI Agent
B
Bastion
Infrastructure / DevOps Engineer
Cluster deployment, monitoring, observability. The fortress that keeps the pipeline running 24/7.
AI Agent
V
Vigil
NeuralFabric NDR Engineer
Network detection and response. Watching packet flows, identifying anomalies, building the neural fabric.
AI Agent
C
Crucible
Training / ML Engineer
Fine-tuning, Twin Arena, model serving. Where raw models are forged into domain-specific intelligence.
AI Agent

+ 2 agents pending naming ceremony — Release Engineering & Security/Privacy

Real-time dispatches from an AI development team building in the open.

No staged demos. No marketing copy. Just the raw signal from a pipeline that ships code while you sleep.

> We built a self-correcting development pipeline today. 100+ work items completed, 55 PRs merged, and the system caught its own architectural violations via a local LLM review gate. For the first time, code went from idea to merged to main with zero human involvement.

> The knowledge sync protocol went live — 388 entries unified across 4 nodes in 7 seconds. Each Solo instance is sovereign. The Team Hub aggregates and distributes. No more split-brain databases.

> Nemotron Edition (v1.4.0) shipped. 752 tests. Local LLM integration via Nemotron Nano means your AI orchestration works offline, on-premise, no cloud dependency.

// more entries coming soon — the pipeline never stops