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Professional Services

Make the model legible. Make the system work.

From one urgent refactor to a governed production runtime, we find the smallest intervention that can be measured, shipped, and honestly defended.

Services

Deep model work. Practical delivery.

01 · Interpretability

Know what the model is doing—and where the evidence stops

Receive a human-readable model report, machine-readable findings, an interactive internal map, and replay-verifiable evidence. We follow real prompts through every measured block, read attention, K/V memory, residual and MLP behavior, trace output-token formation, identify circuits and recurring patterns, and state every denominator, unresolved state, and abstention.

02 · Efficiency

Save on inference

Profile load, prefill, decode, memory, storage, and concurrency. Test caching, batching, operator, and representation changes against an untouched baseline; promote only the savings that preserve the declared output contract under repeated measurement.

03 · Capacity

Right Size

Match model, context window, precision, runtime, hardware, and deployment shape to the work that actually arrives. The recommendation names its quality, latency, throughput, memory, storage, and concurrency envelope.

04 · Developer Experience

Developer Workflows

Give engineers a short path from local prompt to production evidence: reproducible environments, sealed model artifacts, OpenAI-compatible interfaces, evaluation gates, CI checks, observability, and useful failure diagnostics.

05 · Delivery

Bespoke refactoring on tight timelines

Take a narrow, high-stakes subsystem from “we cannot keep living with this” to an explicit contract and a reviewable change. Existing behavior stays protected by characterization tests, small commits, and a deliberate rollback path.

06 · Build

Implementation

Ship the work, not merely the recommendation: architecture, typed interfaces, integrations, tests, deployment manifests, instrumentation, migration, operator runbooks, and acceptance evidence.

07 · Governed Serving

Schemen Runtime

Deploy a policy-enforcement point at the model boundary. Runtime admits an exact model operation only after authenticated-principal binding, request-capability verification, replay consumption, Gate admission, and signed artifact verification.

Inside the report

An interpretability report you can interrogate.

  1. Scope and custody.Model source and revision, configuration and tokenizer identity, real prompt population, and the exact token, layer, site, and capability denominators.
  2. Complete configured topology.Every measured block and its normalization, attention, Q/K/V and K/V-cache flow, residual paths, gated MLP operations, final normalization, and vocabulary scoring.
  3. Behavior through depth.Real text decoded at each block, full-vocabulary answer-token trajectories, and measured attention-versus-MLP movement.
  4. Mechanisms and interventions.Concept geometry, axes, attention heads, MLP activations and local operators, circuits, recurring loops, perturbations, matched controls, and rollback checks where executed.
  5. Evidence boundary.Human report, machine findings, interactive explorer, content-addressed artifacts, causal ledger, coverage verdicts, unresolved states, and explicit ABSTAIN or UNDER_RESOLVED results.
Finite evidence stays finite. Observed activation coverage is not universal activation-space coverage, and geometric resemblance is not promoted into a causal or semantic claim without the required intervention evidence.

Schemen Runtime guarantees

What the serving boundary enforces.

  1. Exact, body-bound authority.A production model action binds the authenticated principal, runtime, model, action, exact regime set, canonical request body, validity window, nonce, and policy version.
  2. Fail-closed admission.A missing Gate sidecar, rejected regime volume, invalid capability, replay failure, or mask-request failure does not fall back to local permission.
  3. Signed artifact custody.Backbones, heads, adapters, and private operator state are admitted against operator-signed manifests covering the exact expected file inventory, roles, and content digests.
  4. Single-use execution and owned state.Replay keys are consumed atomically. Hydra lanes keep K/V cache, position, output, RNG, cancellation, and failure state request-owned; failed forwards poison partial cache state rather than reusing it.
  5. Bounded disclosure.Authorization events contain redacted evidence rather than credentials, prompts, or outputs. Raw model output remains response-only unless a separate output-custody system is explicitly enabled.
The deployment supplies authority. Schemen Runtime is not an IdP, certificate authority, policy engine, capability issuer, revocation authority, or distributed replay service. Those systems remain externally operated; Runtime independently checks their normalized grant at the point of execution.

Working method

Small enough to falsify. Complete enough to operate.

  1. Name the outcome and the comparator.What should become faster, smaller, clearer, safer, or easier—and against which untouched baseline?
  2. Measure before changing.Retain the real workload, identities, denominators, failure modes, and performance distribution.
  3. Build the smallest credible intervention.One end-to-end path with positive controls, adversarial negative controls, and no mystery fallback.
  4. Leave the system operable.Implementation, tests, receipts, deployment, rollback, runbooks, remaining gaps, and a named owner.

Bring the model, the bottleneck, or the deadline. We will define what a defensible finish looks like.

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