Say yes to AI faster, with nothing running unseen.
Your teams are already shipping AI. Saible gives you the control to go faster, and your agents the context to get it right.
An agent mid-task needs what is true now, and a reason to believe it. Saible resolves each value at run time. It learns how fast each source changes, so it can estimate whether a value is still fresh. It settles conflicts by authority, system of record and time, and labels the ones it cannot settle instead of guessing. By default, memory an agent writes waits for a person's approval. Every answer carries a signed receipt: what was served, and what was held back.
on our evaluation set · a synthetic enterprise, 240 subjects, 5 runs · not a customer's figures · tokens estimated as characters ÷ 4
Saible reads every repository of your GitHub organisation or GitLab group, your AI platforms and the gateway, and lists the AI it finds. A browser extension is on the roadmap. You claim what is yours and confirm its purpose and risk class. Everything else stays listed as found and unclaimed, and the reports count it as such.
the demo organisation · seeded figures, not a customer's
ROADMAPAzure DevOpsBitbucketOne AI system across platforms: a repository matched to its keys and IAM rolesPush events from your code host (today: nightly, or Scan now)A signed, published collector imageTerraform for private connectivity, so Saible can pull
The control plane works from what you already run. Without the gateway it covers six areas, including Observe, by reading your providers' logs on request. The gateway adds Enforce, and with it:
example application · an area is covered when all its controls are met, partly when some are
With its gateway, Saible enforces policy across providers, provides evidence for each decision, and sells nothing it governs. It is independent of any hub.
Groups are placed by Saible's reading of public material, not by measurement. Proves: a record for each request, tied to the policy in force, that a third party can check.
Prompts go straight from your network to your provider. Saible receives the record of each decision, not the prompt. For a workload you opt into the evaluation corpus, a pseudonymised copy is kept in your own bucket, for the window you choose, 30 days by default. The gateway pulls the signed policy. Nothing is pushed into your network.
Saible turns the systems, people, data and terms your company runs on into one business ontology, read from where they live: GitHub, Snowflake, Databricks, OpenAI, Bedrock, and Confluence, SharePoint, Salesforce and Drive over MCP. Each application's prompts, tools, MCP servers and datasets become one signed context manifest. Drift and conflicts go to a person. Your agents read the confirmed version through one context API, with a signed receipt per answer. When the agent sends that receipt with its call, the gateway records it.
Business ontology: the metric, dataset or document behind each manifest, with related context ranked by reasons. Saible keeps hashes. Prompt text stays in your bucket or encrypted, and is never served.
Backtest a policy on your recorded requests, or a model on each application's golden set, through your policy. Nothing changes in production until someone with the right role approves it.
ROADMAPAutonomous switching, within limits a person sets.
Five sample rows, hashed in your browser by the method the ledger uses.
| decision | endpoint | previous hash | record_hash | verify |
|---|---|---|---|---|
| — | 22c5…e634 | – | ||
| 22c5…e634 | 2211…e274 | – | ||
| 2211…e274 | 4dda…0ec8 | – | ||
| 4dda…0ec8 | f056…2938 | – | ||
| f056…2938 | 420c…95c7 | – |
Edit a decision or endpoint above, then press Verify. The edited row recomputes to a different hash from the one stored for it, so verification names that row. Every row after it reads chain broken, because its own link points at a record that no longer matches what is stored. That is what tamper-evident means. It does not yet cover one case: a rewrite of the whole chain, hash by hash, by someone with write access, passes verification. Anchoring the chain outside Saible's account will close that gap.
The AI catalogue is discovered from your platforms, your code and the gateway. A browser extension is on the roadmap. A person claims each AI system and adds its purpose and risk class, which are always set by a person.
Every decision is chained to the one before it. If one record is edited, verification names it. Your auditor can check the chain with the verifier in the evidence pack.
A map of the evidence held for each obligation, with the reason behind every cell, ready for your auditor to test.
Records are pushed to the ledger as requests happen, and to object storage in your region when the ledger cannot take them. A request served without a record leaves a gap record, and the console shows which those are.
Spend from your providers' bills, by team, against budgets with alerts at 80% and 100%. Send a unit header to see the cost of one claim or one ticket.
Write-back proposes the change to a platform's configuration, shows a dry run, and applies it only after approval, and can undo what is reversible. Built today for Bedrock and OpenAI.
The exposure report connects read-only to OpenAI, Anthropic, Azure OpenAI, Bedrock, Snowflake and Databricks. It shows what runs, what each platform permits, and how much of it you could prove.
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