Businesses don’t need more AI. They need a Spiderbrain.
As AI agents multiply, so do conflicting answers, forgotten context, and inconsistent decisions. A shared brain gives every system the same understanding of your business, making AI consistent, explainable, governed, and ready to act.
Spiderbrain is a combination of multiple layers that stack together, and every layer above depends on the one beneath it holding true. When these layers work together you get reproducible answers, shared team understanding, pre-change risk visibility, and governance that actually sticks. Without them, AI remains clever but ultimately clueless about the real structure and real-time changes of your business.
Agents and tools act on real structure instead of guessing, all against the same ground truth.
A live map of what depends on what, calculated from source, so impact is visible before it ships.
A shared dictionary that turns fragmented data into business meaning an agent can act on.
Persistent, versioned and shared, so the understanding survives the session and the team.
Policies and regulations live in the brain as typed, versioned artifacts, not prompt suggestions.
Nothing governs an agent until a person ratifies it, and every rule carries who approved it.
A customer buys running shoes. The shoes are too big. The customer asks to swap them for a smaller size. Three agents handle the rest.
Accepts the return. Writes it down in its own notes.
Does not know it is an exchange. Sends a full refund, then asks the customer to pay again.
Does not know anything changed. Keeps showing ads for the same shoes, in the size the customer just sent back.
The customer hears three different stories from one company. Your ad money is spent selling the size they returned. They ask for a full refund instead, and they do not come back.
Accepts the return and records it in the shared brain.
Reads the brain. Sees an exchange, not a refund. Keeps the payment and charges only the small difference.
Reads the brain. Stops those ads and shows the smaller size instead.
One company, one answer. No ad money wasted. The customer gets the right shoes in a few days, keeps the order, and buys again.
The brain can plug into all your data sources, keep itself updated, collect real-time signals, and help agents make lightning-fast decisions. It is persistent, versioned, auditable and reusable. Connect any AI through MCP, embed it with the Spiderbrain API, or build new products on a foundation every team can trust.
Private data and code
Spiderbrain analyzes your files locally and builds a deterministic, governed brain that represents your organization’s understanding.
Unlike AI models, the brain is persistent, versioned, auditable, and reusable.
Connect any AI through MCP, embed it into your own applications with the Spiderbrain API, or build entirely new products on a foundation that every team can trust.
The Spiderbrain API lets software ask questions about the relationships, decisions, constraints, history, and consequences inside a system. That makes Spiderbrain useful anywhere there is a complex system that changes over time.
The moment something breaks, your backend can ask how far the breakage reaches, before a customer finds out.
Ship a new product or land new research, and the pages it just made stale get flagged instead of quietly rotting.
Run it before every audit call, so auditors open the current picture rather than an export from last quarter.
See where risk actually sits, and how far it spreads if that piece moves.
Reps see the current offers and what each one does to a product bundle, before they promise it.
Point queries at the blind spots nobody thought to ask about.
How do you plan to use the Spiderbrain?Read the API docs
Point Spiderbrain at any folder or repo. The native parser reads real imports on your own machine and builds a source-free dependency graph. Your file contents stay put; only the derived structure travels.
Deterministic scoring finds keystones, blast radius, blind spots and co-failure paths. Same input, byte-identical output, every time.
Publish a brain release: an immutable, content-addressed snapshot with provenance. Restore any one, and diff two to see what your understanding gained or lost.
Read it yourself in the app, in reports and in pull requests. Or connect Claude, Cursor, Continue or any MCP client, and every agent inherits the graph, the scores and your ratified decisions in every session.
Determinism is only worth anything if you can check it. The methodology, the results and the gaps are all published, including the time we found a defect in our own engine.
contextbenchmark.com publishes our methodology, machine-readable results and trust levels. When we found a defect in our own engine, we published the defect, the fix and the verified re-run the same day.
contextbenchmark.com (opens in a new tab)Every brain in the public registry is recorded in a signed, append-only log. What was published, when, and with which fingerprint.
View the logParsing is native and runs on your own machine. Scoring and brain hosting run on our EU infrastructure today. Because only the derived understanding travels, never your file contents, where the brain lives is a choice rather than a risk: talk to us about regional or self-hosted deployment.
Read the data governance policyThe brain tells you what it does not know. Coverage is disclosed per repository, never silently overstated.
How det-score worksMeasured on 14 real datasets, from code to clinical trials, with every figure and the engine version it was measured on recorded against it.
An agent on its own guesses from similarity. A memory tool remembers what it was told, extracted by a model. Spiderbrain derives the structure from your source and can show its work. The job being compared is keeping an AI reliable about the systems you already run.
| What you need | AI agent alone | AI + memory tool | AI + Spiderbrain |
|---|---|---|---|
| Trust | |||
| Same input, same context, every time | no | no | yes |
| Built from your source, not inferred by a model | no | no | yes |
| Answers you can re-run and verify | no | no | yes |
| Tells you what it does not know | no | no | yes |
| Understanding | |||
| Knows what depends on what | partial | no | yes |
| Knows what breaks before you ship it | no | no | yes |
| Useful even with no AI in the loop | no | no | yes |
| Governance and time | |||
| Survives the session | no | yes | yes |
| Shared by the team, not rebuilt per seat | no | yes | yes |
| Versioned, so you can diff what changed | no | partial | yes |
| Your file contents never have to leave your machine | partial | no | yes |
Determinism is a property of the map Spiderbrain builds, not of the sentences a model writes from it. The receipt is what makes an individual answer checkable. Characterisations of other categories reflect public product information as of July 2026 and describe categories, not named products.
Every file gets scored, so the load-bearing few surface on their own instead of drowning in a context window. Same input, byte-identical output.
Bring your policies and architecture documents. Each rule becomes a typed directive that waits in quarantine until a person ratifies it. Only then does it govern the agents that consult the brain, and it carries who approved it and when. Retire a rule and it stops applying, but the audit trail stays.
High-risk AI output requires effective human oversight. Agent-proposed changes to deployment-gating code must be reviewed by a person before merge.
For small and medium projects.
No credit card required.
Founding members pay $21/mo forever
For as long as you keep the plan. Until Spiderbrain Cortex General Availability or while founding numbers last: 3,750 across the Pioneer, Founding Member and Genesis tiers.
Designed for people whose projects never stop moving.
Secure checkout. Cancel anytime.
For teams that share one brain.
Assisted onboarding.
For rollouts with specific needs.
Custom licensing and rollout.
Build your first brain in under a minute. Your source stays on your machine.