Fixed price agreed before we start. Evaluation harness, cost monitoring and production deployment built in, not bolted on after. Your source code, transferred on day one.
We build and ship production-ready AI products at a fixed price, in three tiers sized to how far you need to get. Every build includes LLM integration, versioned prompt engineering, output validation, an evaluation harness, cost monitoring, a full-stack application with auth and payments, custom UI, production deployment — and your source code, transferred on day one. We build RAG applications, LLM-powered tools, AI SaaS, chatbots, content engines and AI analytics on OpenAI, Claude, LangChain, LangGraph and vector databases.
The clock starts when the scope document is signed. A staging URL is live by day five, so you see the product working long before launch.
Priced at signature, 50% upfront and 50% on delivery. No hourly meter, and no surcharge if the build runs long.
The repository is yours from day one. No proprietary runtime to license and nothing you have to buy back later.
| Capability | What you get |
|---|---|
| Auth, payments, dashboard, deployment | Included in every tier |
| LLM integration (Claude / GPT) | From day one |
| Prompt engineering discipline | Versioned prompts, ready for A/B testing |
| Output validation | Structured outputs and retries, built in |
| RAG pipeline, where applicable | pgvector or Pinecone, hybrid search |
| Evaluation harness with labelled test set | Day one, runs on every change |
| Cost monitoring | Per-feature token budget tracking and alerts |
| Model routing by complexity | Cheap models for simple calls, frontier models for hard ones |
| Observability | AI-specific tracing plus Sentry |
Pick the tier by how far you need to get, not by how many hours it takes. The price is agreed in writing before any work begins.
One core AI feature shipped end to end. Prove the mechanic with real users before committing a budget.
A full production AI MVP: retrieval, evaluation, auth, payments and a dashboard your team can actually run.
Multi-agent systems, custom retrieval and fine-tuned routing on a production-grade architecture.
Most products only need the first option. We tell you which one fits before you pay for the wrong one.
Easy to start, with ongoing per-request costs. The right call when you need general intelligence plus your own data through retrieval.
Lower latency and cost per request, but it needs labelled data. Only worth it once API prompting hits a quality ceiling.
Full data control on a fixed monthly cost, but you manage the infrastructure and quality trails the frontier models on complex reasoning.
Every call costs input and output tokens. A typical support response runs $0.003 – $0.01; at 10,000 queries a day that is $30 – $100 a day. We design the architecture to hold that down from the start.
Semantic caching serves identical and near-identical queries from a Redis-backed store with sub-millisecond lookups, instead of calling the API again.
Not every request needs a frontier model. Routing simple queries to cheaper, faster models typically cuts API costs by 60 – 80% with minimal quality impact.
Per-user and per-tenant spending limits, usage dashboards and alerting prevent surprise bills. Every build ships with a cost monitoring page in the admin panel.
We choose per project rather than defaulting to one vendor, so the architecture fits your data, your latency budget and your compliance position.
Your product is built in house at Coretek Labs. The engineer on your scoping call is the one who architects and ships it, using AI-native engineering workflows. No handoff to juniors, no account manager layer, and no outsourcing.
We run a small number of concurrent builds so each project gets senior attention. Your start date is confirmed in writing on the scoping call, and the clock starts once the scope document is signed. Validate ships in 7 days, Launch in 14 days, Scale in 3 to 4 weeks.
Before you pay anything, you receive a written scope document: the exact feature list, acceptance criteria, architecture plan, delivery timeline with a staging milestone, the fixed price, and an explicit out-of-scope list. It has to be approved before the build begins.
Included: everything in the signed scope document, a staging URL by day five, production deployment, and 30 days of post-launch support. New ideas mid-build become a written change quote that you approve before we implement it. Nothing is added to the invoice silently.
The price is fixed at signature: 50% upfront, 50% on delivery. A late build delays our payment, not your budget. There is no hourly meter and no schedule surcharge — overruns are absorbed by Coretek.
Bring the problem you want solved. You leave with a written scope, a fixed price and a confirmed start date — before you commit anything.
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