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The control plane for workforce AI

Say yes to AI at work.Keep the rules, the spend and the record.

SynapBridge is where policy, spend and evidence meet for the AI your people already use. People pick the best model for each job and keep their context. Security sets the rules once. Finance sees every governed dollar, by team, before the invoice.

Your keys, your contractsA record for each decisionOpen trust center
SynapBridge
GPTOpenAI
BedrockAWS
ClaudeAnthropic
Azure OpenAIMicrosoft
GeminiGoogle
Llama and moreMeta, open models

What is SynapBridge?

SynapBridge is the control plane for workforce AI. It checks, counts and records each request your people send to the AI providers you connect, so policy, spend and evidence come from the same place.

Works with the providers you already pay for

See every provider and its status →
OpenAIAnthropicGoogle GeminiAWS BedrockxAI GrokDeepSeekQwenPerplexityGroqTogether AIFireworksCerebrasNVIDIA NIMDatabricksOpenRouterAzure OpenAI PreviewAny OpenAI-compatible APISelf-hosted models

Provider names and logos belong to their owners and identify compatibility only. You connect each with your own key, so your contracts and discounts stay yours.

The problem

AI is already in most teams. Control often is not.

People adopted AI faster than any policy, budget or review process could follow. The result is four gaps that most organizations will recognize, and each one lands on a different executive.

01

Shadow AI

Employees paste work into whichever tool is open. Security cannot see which models touch which data, so it cannot set a rule.

Lands on the CISO

02

Spend with no owner

Seats, API keys and usage bills arrive from many vendors in many formats. Nobody can say what AI costs by team.

Lands on the CFO

03

Agents and tool servers

Agents now call tools that read and write company systems. Each new MCP server is a new door that needs an owner and a review.

Lands on the CIO

04

Evidence after the fact

Policies sit in documents. When a board member or an auditor asks what happened, the answer is a scramble through logs.

Lands on the AI and risk lead

Why now

The rules are getting dates, and the tools are getting hands.

  • Regulation has a timeline. Parts of the EU AI Act already apply and the rest phase in. Confirm current dates for your use cases with your counsel.
  • Agents act, not just answer. A chat risk becomes an operations risk.
  • Buyers want evidence. Security reviews now ask for decision records, not policy PDFs.

One pane of glass

See AI governance as one score, with the next step ranked.

Policy, approvals, spend thresholds, model routing, evidence and agent controls share one view. The score and every number come from the workspace's own settings and activity.

  • A health score across four weighted pillars
  • Next steps ranked by the points each would add
  • One left rail for threat surface, audit trail, approvals, policies and spend
app.synapbridge.com/governanceSample data
SynapBridge governance health: a score of 77 out of 100, four weighted pillars and next steps ranked by the points each would add.
Score computed from your own settingsNext steps ranked by points gained

Product walkthroughs

Watch three real workflows, start to finish.

Recorded in the product on a fictional tenant with sample data. Captioned and silent, so they play anywhere, including in a meeting.

A request, governed · 35 seconds · captioned, silent
Read the transcript
  1. Compare: one prompt, several models, one view. Every answer shows its latency and cost.
  2. Control: every governed request is checked against the active policy. One score, with next steps ranked by the points each adds.
  3. Evidence: each decision is written down with the policy version.
Spend with an owner · 25 seconds · captioned, silent
Read the transcript
  1. One ledger: spend by team and model, with a ledger code on every row. Switch the view by user, team or project.
  2. Forecast: see where the month ends up, with a planning upper estimate.
  3. Alerts: caps and alerts warn the owner early. They are checks, not guarantees.
Approve before it connects · 20 seconds · captioned, silent
Read the transcript
  1. Registry: every tool server on one list, with a decision on file. Classification rules decide which servers may be used at all.
  2. Approve: named reviewers approve, deny or reassign from one queue.
  3. Ledger: each agent run is recorded with its policy and outcome. Agents and MCP are in Beta.

Governance that operates

Not a checklist nobody runs. A loop that runs on the request.

Set the rules, check each request against them, route exceptions to a named approver, keep the record, and review what happened. Pick a situation to see the decision path.

  1. 1Set the rules
  2. 2Check the request
  3. 3Decide
  4. 4Route exceptions
  5. 5Record
  6. 6Review

Pick a situation on the left. The path on the right shows what runs on the request, in order, and what is written down.

Governance

A claims analyst pastes patient details into a model not approved for health data.

  1. Request

    Request received

    User on the Claims team, model GPT, through SynapBridge.

  2. Check

    Sensitive-data pre-check

    A health-information pattern matched in the prompt.

  3. Policy

    Policy v14: health data stays on approved models

    This model is not on the approved list for this data class. Decision: block.

  4. Outcome

    Stopped before the model is called

    When the sensitive-data check recognizes the content, the user sees the reason and the approved alternatives. Detection is pattern-based.

  5. Record

    Decision record written

    Policy version, rule, data class and outcome are stored and can stream to your SIEM.

Detection is pattern-based and covers known patterns. Rules apply to requests made through SynapBridge.

An illustration of the decision path, not live data. Detection covers known patterns.

What each team gets

A workspace people want to use, with controls they do not have to think about.

Finance sees spend with an owner

One ledger across vendors, attributed to team and project, with forecast to budget, caps and alerts, and a ledger code on every row.

AI FinOps →

Security gets the decision record

Each governed request leaves a record with the policy version that decided it. Search it, export it, stream it to your SIEM (Beta).

Governance →

People keep the models they like

Compare up to four models side by side, keep context across them, and import memory from other assistants with an undo.

Take the tour →

Two questions teams ask next

What happens to our context, and what about our developers?

Memory that follows people across models

Facts and project context live in your workspace. Import from a ChatGPT, Claude or Gemini export, review the preview, and keep it under admin control.

Memory →

Developers on the same rules and the same bill Beta

Gateway keys with a monthly limit, a model list and a rate limit per service or team. Calls pass through your policies and land in the same ledger.

For developers →

Honest by design

What is verified, what is under way, and what is only planned.

We show the real status of every claim. No badge stands in for a report, and no third-party attestation has been issued yet.

Verified today

  • Data processing agreement published
  • One published sub-processor register
  • Open trust center, no login and no form

Architected to align

  • HIPAA Security Rule safeguards, mapped and published
  • GDPR processor obligations, covered in the agreement

Under way and planned

  • Architected to align with the SOC 2 Trust Services Criteria
  • ISO/IEC 27001, declared intent
  • HIPAA BAA program, annual penetration test and disaster recovery test, planned
Open the trust center

Start where you are

Look first, assess, or pilot.

Take the product tour

Six steps through real screens, in about five minutes.

Start the tour →

Run the gap check

Ten questions that find where a control may be missing, with a memo to share.

Check your gaps →

Start from your role

Finance, security, IT and AI leads, each with the questions to ask in a demo.

Find your role →

Pilot it

A small pilot with your providers and one team, plus a ten-question buyer's guide.

Plan a pilot →

Say yes to AI. Keep the rules, the record and the bill.

Book a walkthrough with the people who built it, or start a trial and look around yourself.

Book a demoStart a trial