For product studios and software integrators
Your team leads the product. We build the agreed data or AI component: RAG, semantic search or LLM integration, from interfaces and implementation to testing and handover.
Free 20–30 min call → a written scope and a fixed price for stage one within 2 business days. First stage from $5k.
NDA and no-poach by default. White-label on request.
Agency track record
Top Rated Plus agency on Upwork · 515 projects · $2M+ billed · 98% Job Success (Oct 2026)
Agency profile on Upwork
Led by Eugene Tsaplin, CEO
Upwork Expert-Vetted (top 1% of talent) · Top Rated Plus · 100% Job Success
His personal Upwork profile“Eugene and Maria are phenomenal to work with and produce high quality work!”
Where we can help
Users need relevant results across inconsistent records, with filters, ranking, and an API your application can use.
Multiple sources must become a structured, repeatable input to the client’s application.
A working demo needs evaluation, integration, error handling, and a clear acceptance standard.
The work
You own the client relationship and lead the product. Indext takes responsibility for an agreed data or AI component: RAG over documents, semantic search, or an LLM feature integrated into the product your team is delivering.
We define the interfaces, dependencies and acceptance criteria together, then implement, test and hand over the component. NDA and no-poach are standard; white-label delivery is available on request.
Example boundary. The exact split of work is agreed in writing before we start.
Published engineering case
Our semantic sourcing work combined data ingestion, vector search and LLM-assisted scoring. Our knowledge assistant connected PDF processing and retrieval to a conversational interface. These examples show the components we delivered and how they fit a usable workflow.
FastAPI connects PostgreSQL/pgvector retrieval with LLM scoring and application workflows on Azure.
Published RAG implementation
Indext connected PDF processing, vector retrieval and ChatGPT in a conversational knowledge assistant. A concrete example of turning document retrieval into a usable software feature.
Explore the RAG implementationExplore custom RAG development · Questions to ask an AI development partner
How work starts
On a free 20–30 min call, walk us through the brief, existing architecture, available interfaces, and the component your team needs help delivering.
Within 2 business days after the call: what’s in, what’s out, acceptance criteria and a fixed price for stage one. NDA and no-poach are standard.
Review the component with your team and agree how integration, deployment, and subsequent support will be handled.
Yes. We define the interfaces and divide responsibilities so the component fits into your delivery.
You decide who talks to your client. An NDA and a no-poach clause are standard in our agreements. White-label delivery under your brand is available on request.
Yes. Tell us the proposal stage and the decision your client needs. If a short technical stage would reduce the risk, we scope and price it in writing first.
A fixed price per stage. After a free 20–30 min call, you get a written scope and a fixed price for stage one within 2 business days. First stages start from $5k. Each next stage gets its own written scope and fixed price, and you can stop after any stage.
Free 20–30 min call with Eugene Tsaplin, our CEO. Within 2 business days after the call, you get a written scope and a fixed price for stage one — numbers you can put into your own proposal. First stages start from $5k.
NDA and no-poach by default. White-label on request.
Maria
COO
Replies within 1 business day (US Eastern) and sets up your call.
Eugene Tsaplin
CEO
Runs the call and signs off on your scope.
Upwork Expert-Vetted (top 1% of talent) · Top Rated Plus · 100% Job Success (his personal profile)
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