Platform

One system, assembled from four disciplines.

This is the governed core underneath everything we build. We do not sell a product with a compliance module bolted on — retrieval, interconnect, data, and governance are built as one system, shaped by the regime you operate under.

01 · Company Brain

Everything your organization knows, made retrievable and governed.

Most enterprise knowledge is not in a database. It is spread across contract archives, ticket histories, engineering wikis, regulatory filings, and the judgement of people who have been there fifteen years. A Company Brain consolidates that into a single governed index that sits behind your firewall.

Retrieval is permission-aware before generation, not after. A user who cannot open a document in the source system cannot cause it to influence an answer — the access model is evaluated at query time against your existing identity provider.

  • Ingestion from document stores, databases, ticketing, and code
  • Citations resolve to the exact span in the source record
  • Access enforced at retrieval against your existing IdP
  • Incremental re-indexing as source systems change
02 · Local-first interconnect

Custom services that keep working when the network doesn't.

A refinery, a vessel, a field hospital, and a classified facility have one thing in common: the connection is not guaranteed. Systems built on the assumption of a live link to a hosted model fail exactly when they are needed most.

We build interconnecting services that treat disconnection as the normal case. Inference runs on local hardware, state is held in conflict-free replicated types, and reconciliation on reconnect is deterministic and replayable — so an auditor can reconstruct what the system knew at any point in time.

  • Edge-resident inference on local hardware
  • CRDT-backed state, no lost writes during partition
  • Deterministic replay for audit reconstruction
  • Signed, offline update bundles for air-gapped sites
SITE A
serving
LINK DOWN
SITE B
local only
PENDING OPS · CRDT QUEUE
deterministic replay on reconnect
03 · Data-backed pipelines

Curation, lineage, and evaluation built from your own data.

Generic benchmarks tell you nothing about whether a system works on your corpus. We build evaluation sets from your real queries and your real documents, graded by your subject-matter experts, and we hold releases against them.

Every artifact in the pipeline is versioned and content-addressed. When a regulator asks why the system produced a specific output on a specific date, the answer is a lookup rather than an investigation.

  • Expert-graded evaluation sets drawn from real usage
  • Content-addressed, reproducible pipeline artifacts
  • Full lineage from source record to generated span
  • Structured labeling workflows with reviewer agreement tracking
1
Source
2
Curate
3
Label
4
Eval
lineage:fullsha256 pinnedv4 · reproducible
04 · Policy & assurance

Policy your counsel can read, enforced by the runtime.

Guardrails written as prompt text are not controls — they are suggestions. We compile machine-readable policy into runtime enforcement: redaction spans, jurisdiction routing, refusal boundaries, and escalation to human review.

Assurance runs continuously rather than as a launch gate. Drift detection, adversarial probing, and evidence generation operate against production traffic, so the audit file is a byproduct of running the system.

  • Versioned, signed policy artifacts under change control
  • Runtime redaction and jurisdiction-aware routing
  • Continuous adversarial probing and drift detection
  • Evidence generated from production, not assembled before an audit
policy.v12.yamlsigned
jurisdiction:eu-west-1
pii.redact:[name, dob]
refuse_if:tier == high
escalate_to:human_review
Deployment

Where it runs is a design input, not an afterthought.

Topology is decided in the first week, because it constrains everything downstream — model choice, key management, update path, and what evidence the system can produce.

Your cloud account

Private VPC

Runs inside your existing cloud boundary using your KMS keys, your VPC, your logging. We never hold credentials to production.

  • Customer-managed keys
  • Private networking
  • Existing IAM
Your hardware

On-premise

Deployed to your own datacenter or colocation. Open-weight models served locally, with no dependency on an external inference provider.

  • Local weights
  • No external inference
  • Hardware sizing included
No network path

Air-gapped

Fully disconnected operation with signed, offline update bundles and deterministic replay for audit reconstruction.

  • Offline update bundles
  • Deterministic replay
  • Physical media transfer
Integration surface

Meets your estate where it already is.

Connectors run inside your network and authenticate as a service principal you control. Nothing is copied to infrastructure we operate.

Where a source system has no suitable API, we build the connector as part of the engagement and hand over the source.

  • SharePoint
  • Confluence
  • S3 / MinIO
  • PostgreSQL
  • Snowflake
  • Databricks
  • Git / GitLab
  • Jira
  • ServiceNow
  • SAP
  • Salesforce
  • Elasticsearch
  • Kafka
  • Active Directory
  • Okta
  • Network shares
  • Microsoft 365
  • OpenSearch
Continuous assurance

Evidence accumulates while the system runs.

Drift against your evaluation set is monitored continuously. When a regression trips a threshold, the affected release is flagged and routed for re-evaluation before it reaches users.

drift monitor · 30d1 flagged → re-eval

Start with the assessment.

Two weeks against your data estate and regulatory surface produces a risk-tiered scope and a concrete first use case.

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