Model training is a badly-aimed bazooka. We forged a scalpel.Top 5% experts for precise training, alignment, and evaluation.11 trillion parameters trained across customer models.Model training is a badly-aimed bazooka. We forged a scalpel.Top 5% experts for precise training, alignment, and evaluation.11 trillion parameters trained across customer models.

Wintermute — simulated environment

The agent that reads your estate and names what is missing

Wintermute runs in a single-tenant cloud machine or on your own hardware. It reviews your proprietary data, content, and agentic context, maps where your knowledge is strong and where it is absent, then proposes the data sources and experts that close the gaps. Nothing is copied out. Nothing trains our models.

Deployment

Security boundary

Single-tenant VM · customer-held keys

A single-tenant virtual machine in a region you choose, torn down when the review ends.

01

Customer store

02

Encrypted tunnel

03

Single-tenant VM

04

Wintermute agent

05

Findings back to customer

Corpus stays put; only findings travel back over your tunnel

Encryption
AES-256 / TLS 1.3
Credentials
Read-only, scoped
Keys
Held by you
Training use
None, ever
  • TLS 1.3 in transit, AES-256 at rest on ephemeral volumes
  • Customer-managed keys; the agent holds no long-lived copy
  • Single tenant — no shared index, no shared vector store
  • Read-only credentials, scoped to the paths you nominate
  • Volumes wiped and the VM destroyed at end of run
Spin-up
Minutes
Throughput
High — elastic workers
Egress
Findings only, over your tunnel
Retention
Zero after teardown

Choose an estate to review

Review run — simulated

Microsurgery robotics

Surgical robotics · sub-millimetre manipulation · Cloud VM

  1. 01 · Mount

  2. 02 · Index

  3. 03 · Map coverage

  4. 04 · Detect gaps

  5. 05 · Rank

  6. 06 · Propose

Estate under review

Documents

Design history files, IFUs, regulatory submissions

18,400 files

idle

Code & notebooks

Control loops, force-feedback tuning, sim harnesses

6,120 files

idle

Ops records

Field service tickets, complaint logs, training rosters

41,300 records

idle

Agent context

System prompts, tool schemas, prior agent traces

2,740 traces

idle

Scan log

0 files/s0.0s elapsed

idle — press start to run a simulated review

Fill in the blanks

Ranked gaps and what closes them

Ordered by downstream model impact. Hover a gap to light up the matching cell in the coverage map above. Each gap opens onto proposed data sources and expert contributions with indicative cost and timeline ranges.

Coverage domain
Intraoperative decision-making
Evidence
No corpus segment contains step-level rationale; agent traces repeatedly fall back to the IFU when asked 'why'.
Confidence
High — corroborated across documents and agent traces

Suggested data sources · 2

Annotated operative video with narrated decision points

Where it lives
Teaching hospital archives and surgical society libraries
Acquisition path
Licence negotiation plus consent and de-identification review
Format
Video with time-coded narration
Digitization
Partly required — older material sits on tape and optical media

$120k – $210k

12 – 18 weeks

Indicative range, not a quote

Structured abort-and-convert case records

Where it lives
Hospital operative registries and internal reviews
Acquisition path
Data-use agreements per site
Format
Tabular records with free-text notes
Digitization
Not required

$60k – $95k

8 – 12 weeks

Indicative range, not a quote

Suggested experts · 2

Microsurgical lead

Specialty
Sub-millimetre anastomosis, robot-assisted
Background
Two decades of operative practice with device-assisted caseload
Contribution
Narrates decision points and rates model rationales against practice

$400 – $650 / hour

60 – 100 hours over 10 weeks

Anonymized profile shape · availability not verified

Surgical simulation instructor

Specialty
Technique instruction and error taxonomy
Background
Runs a robot-assisted training programme
Contribution
Builds the error taxonomy the annotations are labelled against

$250 – $400 / hour

40 – 70 hours over 8 weeks

Anonymized profile shape · availability not verified

Ownership and handoff

You own the data. You own the findings.

Your data stays yours

Wintermute reads. It does not copy your corpus into a shared store and it is never used to train anything of ours.

Your findings are yours

The coverage map, gap dossiers, and proposals are delivered to you and belong to you, including if you never engage us further.

Your keys, your log

Encryption keys and the audit log stay under your control. Access is scoped, time-boxed, and revocable.

No lock-in

Outputs are plain structured files. Take the gap list to anyone, including your own team.

Illustrative demo. The scan, counters, coverage map, gaps, suggested sources, expert profiles, and all cost and timeline figures are simulated. No source is confirmed and no expert availability is verified; ranges are indicative, not quotes.

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YOUR MODELS. THE BEST DATA, THE BEST TRAINING.