AI systems engineered to ship.

We design, build, and operate production AI for teams that need to move beyond demos — autonomous agents, conversational intelligence, predictive models, and the infrastructure that keeps them running at scale.

ISO 42001 & SOC 2 aligned

NDA, MSA, and DPA on request — usually signed within 24 hours.

Production‑grade by default

Every system ships with evals, monitoring, and runbooks.

Scope to live in 6–12 weeks

Fixed timeline, weekly demos, no scope creep. Or we eat the cost.

About Spiral Lab

A senior engineering studio for teams shipping production AI.

Spiral Lab is a small, senior team — no offshore subcontracting, no junior engineers billed at senior rates. Every line of code is written by someone who has shipped AI in production before. The people on the discovery call are the people on the keyboard.

We work like infrastructure engineers, not consultants. Evaluation suites from day one. Observability before launch. Runbooks your platform team can actually own. We're done when the system runs without us — and most clients still keep us on a retained pod, because they want to.

Our promise

Fixed scope, fixed timeline, fixed price. Weekly demos. If we miss a date, we cover the difference — that's the bar we hold ourselves to.

Our position

Model‑agnostic. Stack‑pragmatic. Opinionated where it matters, flexible where it doesn't. We bring conviction, not a sales deck.

The bar we hold

Every system ships with the numbers to prove it works.

Each model is benchmarked against held‑out distributions, regression‑tested in CI, and continuously monitored in production. Drift, latency, and quality metrics surface inside the dashboard your team already uses — before they reach your users.

We document so your team doesn't repeat the work. Architecture diagrams, runbooks, and incident playbooks delivered on week one — not week ten.

Capabilities

Eight capabilities. One bar.

Every capability below is in production with at least one client. Each ships with evals, monitoring, runbooks, and source. Indicative pricing reflects a typical first engagement — final scope is set during discovery.

Also available

Discovery sprints

Two weeks, fixed price, working prototype. For teams who need to validate before committing to a full build.

Model migrations

Move from one provider to another — OpenAI → Claude, or open‑weights for on‑prem — without losing fidelity.

Cost audits

Inference cost down by 40–70% on average — caching, batching, distillation, and right‑sizing.

Eval rescue

For systems already in production but flying blind. We add evals, monitoring, and SLOs without downtime.

How we work

Four steps. No surprises.

A short, structured path from first email to a live system. Every step has a written deliverable — so you always know what you're paying for and what comes next.

Discovery

A 45‑minute call to understand the problem, constraints, and what "shipped" looks like for you. No deck. No pitch.

45 min · free
Scope & quote

Within 48 hours: a one‑page scope, a fixed price, a delivery date, and the names of the engineers who'll do the work.

48h turnaround
Build

Weekly demos, weekly invoices, weekly progress. Working slice in week one, evals in week two, production candidate by week six.

6–12 weeks
Handover & operate

Runbooks, dashboards, and a 30‑day support window included. Retained pods available if you want us to keep operating.

Owned by you
Why Spiral Lab

A senior team, not a marketplace.

Predictable delivery

Fixed scope, fixed timeline, fixed price. Miss a date? We cover the difference.

Transparent pricing

Sprint or retained, billed weekly. No hourly games, no padded invoices.

Production‑first

Evals, monitoring, runbooks from day one. Owned by your platform team on day two.

Secure by default

SOC 2 Type II · ISO 42001 aligned. NDA, MSA, DPA on day one. Code & weights are yours.

Senior engineers only

No subcontracting. The people on the discovery call are the people on the keyboard.

Stays around if you want

30‑day handover included. Retained pods (1–3 days/week) when the system is live.

FAQs

Frequently asked questions.

A free 45‑minute discovery call, followed within 48 hours by a one‑page scope, a fixed quote, a delivery date, and the names of the engineers assigned. Once approved, kickoff happens within two weeks and you'll see a working slice in week one.
Most production systems ship in 6–12 weeks depending on integration surface and data readiness. Two‑week discovery sprints are available if you want a working prototype before committing — useful for board approval or internal alignment.
Yes. We integrate with your data warehouses (Snowflake, BigQuery, Redshift), vector stores (pgvector, Pinecone, Weaviate), identity providers (Okta, Auth0), and observability stacks (Datadog, Grafana, Honeycomb). We bring opinionated defaults but adapt — including air‑gapped and on‑prem deployments.
SOC 2 Type II controls in place; ISO 42001 aligned. Mutual NDA, MSA, and DPA available on request — usually signed within 24 hours. Data residency: EU, US, or your VPC. All code and model artifacts are work‑for‑hire — you own everything we build, no exceptions, no escrow.
Every engagement ships with handover documentation, runbooks, monitoring dashboards, and a 30‑day production support window — included. After that, retained pods (1–3 days/week of senior AI engineering) are available for evaluation, fine‑tuning, model upgrades, and incident response.
Weekly demos catch drift early. If at any point we believe the original scope no longer makes sense — data turned out worse than expected, requirements changed, we found something better — we surface it the same week, with a written re‑scope and the cost implications. No silent overruns, ever.
Discuss your project

Have a system in mind?

Tell us what you're trying to build. We'll respond within 24 hours with either a discovery call slot or a written technical answer — whichever is more useful.