Stochastic Macro
Pricing

One product. One price.
Every seat. Every feature.

No tiers. No feature gates. No surprise add-ons. Bring your own AI keys — or run fully local via any OpenAI/Claude-compatible model server. 30-day evaluation included.

02 · Enterprise
Custom100+ seats

Volume pricing, procurement support, and bespoke onboarding for teams embedding this across a platform org.

  • Everything in Early Access — all seats
  • Volume pricing · annual invoice · net-30
  • Custom SSO / SCIM provisioning
  • Procurement + security review support
  • White-glove onboarding · custom pilot structure
  • Dedicated success contact · quarterly reviews
  • Custom MSA · DPA · BAA as needed
Contact partnerships
Capability Stochastic Macro Most AI coding tools Traditional SDLC
Cross-functional (Product + Design + Eng)✓ Built-in— Engineering-only○ Requires integration
Structured workflows✓ Event models, contracts— Prompt-and-pray✓ But no AI
Provider-agnostic✓ BYO keys or fully local○ Usually one— N/A
Quality gates before human review✓ Tests, lints, design-system— Review is discovery○ Partial
Learns from corrections✓ Every PR, every nit— Same mistakes forever— N/A
On-prem, your infrastructure✓ Single binary— SaaS, their servers○ Varies
Auditable by default✓ Every decision traced— Black box✓ But slow
Stack-agnostic✓ Any language / target○ Usually JS/Py✓ Yes
Pricing transparency✓ $59/seat, flat— Usage-based, variable○ Varies

Frequently asked

Still have questions? Email the founder directly.

What does "bring your own AI keys" actually mean?

You bring API keys for any providers you want — Anthropic, OpenAI, Google — or you point Stochastic Macro at a local model server that speaks the OpenAI or Claude API (Ollama, vLLM, LM Studio, llama.cpp, any compatible endpoint). Agent calls route through whatever you configured, billed to your account. We never proxy, inspect, or cache your code. Fully air-gapped deployments are supported.

Can I use different models for different agents?

Yes — and you should. Every agent in the system has its own provider, model, and settings. We ship sensible defaults based on what we've tested, but you can override them globally or per-agent: run a fast, cheap model for routine scaffolding and reserve a frontier model for architecture-critical work. Performance and quality will vary with the models and settings you choose — that's your call to make, not ours.

Does my code ever leave my infrastructure?

Only to the AI providers you configure. Stochastic Macro runs as a single binary on your machine — no servers of ours ever see your code, specs, or review history. This is an on-prem platform, not a SaaS with "on-prem mode."

How is this different from Cursor, Copilot, or Devin?

Those are engineer-only tools that generate code from prompts. Stochastic Macro is a full SDLC platform — Product writes contracts, Design embeds system constraints, agents implement, gates verify before humans review. It's the workflow layer, not the autocomplete layer. See the comparison table above.

What does onboarding look like?

Install the binary, configure your AI provider keys, connect to your repo. Early-access teams get 30-day evaluation, a direct Slack channel to the founder, and help structuring your first pilot. Most teams ship their first agent-implemented slice within a week.

Is there a free trial?

Early Access includes a 30-day evaluation. If it doesn't move your throughput, cycle time, or rework metrics in that window, don't buy. We'd rather you know before you commit.

What happens after general availability?

Early Access teams lock in the $59/seat rate for 24 months. GA pricing will be higher. The feature set stays the same — no tiers, no feature gates, ever.

Ready to see it on your team's work?

Request early access. No sales call. No demo. We review each request individually and reach out if you're a fit.

Request early access