01
AI strategy & architecture
We map the terrain before we build. Where AI actually moves the needle for your business, where it doesn't, and the shortest path from your current stack to a system you can own.
DiscoveryArchitectureRisk review
Applied AI consulting
The third axis
of your business.
We're a small applied-AI firm. We come into your business and build the automations and AI that actually move the needle. Real systems running in production, not a six-month pilot that goes nowhere.
study · iii — 2026
OpenAI
Anthropic
AWS
GCP
PyTorch
LangChain
pgvector
Modal
Temporal
Prefect
Triton
vLLM
Postgres
Redis
Kubernetes
OpenAI
Anthropic
AWS
GCP
PyTorch
LangChain
pgvector
Modal
Temporal
Prefect
Triton
vLLM
Postgres
Redis
Kubernetes
Services
What we build.
Four practices, one team. Each engagement pulls from what the problem actually needs — not a pre-baked package.
02
Language & reasoning systems
Retrieval, agents, evals, and the unglamorous glue in between. Production-grade LLM features tuned to your domain — with guardrails, observability, and cost in mind from day one.
RAGAgentsEvals
03
Automation & internal agents
Replace the spreadsheet. Replace the handoff. We build internal agents that integrate with your tools, respect your permissions, and leave a clean audit trail.
WorkflowsHuman-in-the-loopOps
axis@prod
$ axis init --agent reviewer
→ tools: github, slack, pager
→ policy: human-in-the-loop
✓ deployed to prod/us-east-1
04
Custom ML & data pipelines
When an API isn't enough — fine-tuning, embedding pipelines, vector search, and bespoke models. Versioned, reproducible, and handed off with runbooks your team can read.
Fine-tuningEmbeddingsMLOps
Approach
How an engagement runs.
01
Align
Two weeks, fixed scope. We pressure-test the problem, your data, and your assumptions — then commit to a concrete deliverable.
02
Build
Short iterations, real users. We work in your codebase, on your infra, with your team in the loop. Every week ends with something demoable.
03
Hand off
You own it. Documentation, runbooks, evals, and dashboards — not a black box we have to babysit.
Average engagement: 6–14 weeks
Principles
How we work.
- 01We ship production code, not prototypes.
- 02Evals before vibes. Every feature has a baseline.
- 03Your data stays on your infrastructure.
- 04We work in your codebase, not a demo repo.
- 05Small teams, senior only. No junior offshoring.
- 06We decline work we can't do well.
Q3 2026 · Two slots remaining
Let's build
the next axis.
Intro calls are 30 minutes, free, and useful even if we never work together. Bring the problem — we'll be honest about whether we're the right team.