UBIKON.ioAI
AI Development Services — LLM Apps & RAG
Typical engagement: $10k–$60k · 4–14 weeks
What this is
Ubikon builds AI features that ship inside real products — Claude-powered assistants, retrieval-augmented generation over your own data, and agent workflows — not demo notebooks that never reach production. A typical engagement runs $10k–$60k across 4–14 weeks, priced by the complexity of the retrieval pipeline and the number of tools an agent needs to use.
What you get
Concrete deliverables, not a vague promise.
- —A production API route wrapping the LLM call — rate-limited, input-validated, never exposing a key client-side
- —An evaluation set: real example inputs and expected outputs, so quality is measured, not eyeballed
- —RAG pipeline with a documented chunking and retrieval strategy specific to your data, not a generic template
- —Monitoring for token cost and latency, so a runaway prompt shows up before the bill does
- —Full IP transfer and private repository handover, same as every engagement
How we build it
Stack and architecture for a typical build.
The Claude API as the default model provider, a vector store (pgvector on the same Postgres instance where that is sufficient, a dedicated vector DB when scale requires it), and MCP for agent tool-use where the workflow needs it.
Pricing
Where the number comes from.
The $10k–$60k range above is priced from real delivery data across 300+ completed projects — not a day rate multiplied by a guess. A full itemized breakdown by phase is available on a scoping call, or get a rough one now from the calculator below.
Open the cost calculator →The honest comparison
Assistant vs agent — which pattern fits your use case
Agent architecture is the higher-complexity pattern; most features don't need it.
| Direct assistant (single call) | Agent (multi-step, tool use) | |
|---|---|---|
| Task shape | One request, one response | Multi-step, needs to check its own work |
| Cost per interaction | Lower, predictable | Higher, variable |
| Time to build | Faster — days to weeks | Weeks to months |
| Best fit | Summarization, drafting, classification, Q&A over your data | Multi-step workflows: research, booking, cross-system automation |
Process
4–14 weeks, start to launch.
Use-case scoping
What the feature needs to do, and honestly, whether AI is the right tool for it at all.
Fixed quote, 48 hours
Priced by retrieval complexity and evaluation scope, not a generic day rate.
Build against an eval set
Quality measured against real examples from week one, not judged by demo vibes.
Launch with monitoring
Token cost and latency tracked from day one in production.
Straight answers
What buyers ask about this service
How much does it cost to add an AI feature to my product? +
A single-call assistant feature typically runs $10,000–$25,000. A full RAG pipeline over your own data or a multi-step agent workflow runs $25,000–$60,000, priced by retrieval complexity and the number of tools the agent needs.
Do you use OpenAI or Claude? +
Claude API by default — we find it stronger on tool use and instruction-following for the agent workflows we build most often. We will use another provider if your product already has infrastructure built around it.
How do you know the AI feature actually works before launch? +
Every engagement includes a real evaluation set — actual example inputs and the outputs we expect — checked before launch and re-checked after any prompt change. This replaces "it looked right in a demo" with a measurement.
What if my use case doesn't actually need AI? +
We say so. Our own AI Readiness Assessment tool includes an honest branch for exactly this — some problems are better solved with a rule or a form, and we would rather tell you that during scoping than bill you to build the wrong thing.
Can you build a RAG pipeline over our existing documents or database? +
Yes — this is one of our most common engagements. The chunking and retrieval strategy gets designed around your actual data shape, not applied as a generic template.
One call. One fixed number.
Tell us about your ai development project.
30 minutes, no deck. A fixed quote follows within 48 hours.