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SeaOtterHow it works

Acceptance layer for enterprise agent work

Stop unreviewed agent work from reaching production.

Every output your agents produce, graded against your policy before it can ship.

Assess your agent outputsSee how it works→

Starts in shadow mode — prove what it catches before you enforce.

The release gateillustrative
41

Claims decisionops agent

⌧Quarantine

✕ blocked from production

0 Block40 Quarantine60 Route80 Ship
  • Support reply88Ship
  • Code change72Route to fix
  • Research memo64Route to fix
⛨Only output that clears your policy reaches production — every verdict signed.
  • On-prem / BYOC
  • ·SSO · SCIM · RBAC
  • ·Tenant isolation
  • ·Signed audit → SIEM / GRC
  • ·Never trained on your data

Grades the work your agents already produce

Code and documents today; spreadsheets, slides, PDFs and email in pilot.

  • payments/ledger.py
    + def transfer(amt, to):
       ledger.debit(amt)
       ledger.credit(to, amt)no test for failure path
       return Ok
    Code change72
    untested failure pathRoute to fix
  • IC-memo.docx · §2

    We expect ~40% upside over the plan, the strongest in the sectorno source. The base case assumes margin recovers by Q3.

    Document34
    unsourced claimBlock
  • valuation.xlsx · Model
    ABC1Rev4.26.12Gr%18#REF!3EBIT0.91.4
    Spreadsheet52
    broken formula in C2Quarantine

Most AI just flatters you

OtterScore looks for reasons to block — not to approve.

Most models are trained to be agreeable, so they wave agent work through. OtterScore is the opposite: it assumes the output is flawed until it can't find a reason to stop it.

Same agent output · two reactions

Another AI reviewer

✓Ships it

“Looks good — a few small suggestions.”

Approves almost anything. The bad output reaches production.

OtterScore

✕Blocked

  • Unsourced claim in §2
  • Misleading chart axis
  • Tool call skipped a policy check

3 violations · routed back to the agent, not shipped.

Same output. One ships it. OtterScore stops it.

See a live critique→

Runs across your estates

One OtterScore gate, wherever your agents run.

One policy gate across every cloud, framework, and runtime — coexists with what you run; on-prem or BYOC.

Your agents, any stack

  • OpenAI
  • Anthropic
  • Bedrock
  • Vertex
  • LangChain
  • Your agents
→↓
OtterScore gateone policy · every outputon-prem / BYOC
→↓
Productiononly what passes
Signed audit→ SIEM / GRC
  • 01

    Model-agnostic

    Across models, frameworks & clouds

    One policy, any cloud or stack.

  • 02

    Inline enforcement

    Decides, doesn't just watch

    Stops work, routes fixes, signs the record.

  • 03

    Private deployment

    On-prem / BYOC

    Redacted traces; never trained on.

  • 04

    Signed audit trail

    Signed, hash-chained audit

    Hash-chained, exportable to SIEM/GRC.

Available for BYOC pilots. Built on AgentOS, our agent execution control plane.

See the control plane→

From shadow pilot to enterprise rollout

Shadow on one workflow, prove it on your policy, then enforce and expand.

  • Shadow Pilot

    £25–75K
    30–60 days

    Shadow mode on one workflow. Observe-and-score, no blocking.

    Start a pilot
  • Most popular

    Enforce

    from £150K
    /yr

    Block-and-route in production, by your policy.

    Talk to us
  • Managed

    + fleet
    control plane

    AgentOS runs the agents: routing, retries, spend caps.

    Talk to us
  • Enterprise

    on-prem / BYOC
    your cloud

    SSO/SCIM, SIEM/GRC audit export, custom policies, support.

    Talk to us
  • Regulated

    multi-estate
    compliance

    One standard across every cloud and runtime; sign-off.

    Talk to us

Don’t ship agent work you haven’t graded.

Assess your agent outputs →

© 2026 SeaOtter. Multimodal adversarial work-evaluation platform.

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