Launchpad: AI SaaS Production Engineering
AI SaaS production engineering: from prototype to product
The distance between a convincing AI demo and a product you can invoice for is not more model work. It is tenancy, billing, evaluation, observability, security review and a support story. That distance is what we close.
- AWSAccredited partner
- ENSMedium category
- +15Launched startups
The production gap
What separates your prototype from a sellable product
Almost none of it is model work. Nearly all of it is engineering that only looks optional until your first real customer.
Evaluation you can trust
A real test set and a regression suite for model behaviour, so quality is a number instead of a feeling.
Multi-tenancy and isolation
One customer must never see another's data or exhaust their capacity. Retrofitting this is a rebuild.
Billing and usage metering
AI costs scale with usage, so metering has to exist before pricing does, or your margin is a mystery.
Observability and tracing
Every model call traced with inputs, cost and latency. Without it, debugging a customer complaint is guesswork.
Guardrails and abuse control
Rate limits, output validation, prompt-injection defences and spend ceilings per tenant.
Security review readiness
Audit logs, access control, data-handling documentation and answers to the questionnaire your first enterprise buyer sends.
How Launchpad runs
A fixed-scope path from prototype to production
Audit
We read what you have built and produce a written assessment: what is sound, what is load-bearing but fragile, and what has to be replaced before customers arrive.
Prioritise by risk
Not everything needs fixing before launch. We rank the gaps by what actually blocks revenue or creates real exposure.
Build the production layer
Tenancy, billing, evaluation, telemetry and hardening, in sprints, with your prototype's working logic preserved where it earns it.
Launch and operate
Runbooks, alerting and dashboards, and a team that stays available while you find out what real usage looks like.
Who this is for
Founders and product teams with something that already works
You have proven the idea. Maybe it is a notebook, a Streamlit app, an internal tool that a few colleagues genuinely rely on, or a pilot with one friendly customer.
What you do not have is the layer that makes it a product: the ability to onboard a stranger, charge them, isolate them from other customers, know what they cost you, and answer a security questionnaire without inventing the answers.
That layer is well-understood engineering. It is also the part that is easy to underestimate by a factor of three, which is why we scope it in writing before anyone commits.
Common questions
What founders ask about Launchpad
Will you throw away what we've built?
Not by default, and we would be cautious of any supplier who opens with a rewrite. Prototypes usually contain hard-won domain logic worth keeping; what they lack is the operability layer around it. The audit says explicitly what stays and why.
How long does it take?
The audit is fast. The build depends on how much of the production layer is missing, which is precisely what the audit exists to tell you before you budget for it rather than after.
Can you work alongside our own developers?
Yes, and that is often the best outcome: we build the production layer while your team keeps moving on the product, and your engineers learn the operational patterns by working in them rather than reading a handover doc.
What if we're pre-revenue and pre-funding?
Then the audit alone may be the right purchase. It gives you a credible engineering plan and cost, which is a genuinely useful thing to take into a funding conversation, and it does not commit you to a build.
Do you take equity instead of fees?
No. We are an engineering firm rather than an investor, and combining those roles would compromise our objectivity at the moments you most need candid advice.
Send us your prototype
We will tell you honestly what stands between it and a paying customer.