RAG and knowledge assistants
Retrieval systems that answer from a defined knowledge base, with source tracking and a path to iterate on quality.
When a client brief needs RAG, machine learning, an AI feature, or extra backend capacity, seKer AI can take the technical slice while you keep the relationship.
We work best with partners who own the client conversation and need a capable technical counterpart, not another brand competing for the same account.
A software house has a client project that now includes retrieval, an LLM feature, or a forecasting model. Their team can ship the product — they just do not have the specialist capacity or want to hire for a single engagement.
seKer AI joins for the agreed technical work. The partner stays in front of the client. How visible we are, who joins calls, and how work is branded is decided before build starts.
The same focused set we lead with on the homepage. If the brief is outside this, we will say so.
Retrieval systems that answer from a defined knowledge base, with source tracking and a path to iterate on quality.
Add language-model features to an existing product: copilots, document tools, content workflows, and API-backed assistants.
Tool-using agents and automations that complete multi-step work, with human review on the steps that need it.
Application, API, and integration work so AI features sit cleanly inside the product instead of as a disconnected demo.
Forecasting, scoring, and classification models connected to the data and workflows a team already uses.
White-label work is a discussion, not a published legal default.
A partner sends the project scope, technical constraint, or client brief. We review what is already decided, what is missing, and whether the work is a fit.
seKer AI provides the relevant engineering work — models, RAG, APIs, or product features — against a defined deliverable, stack, and communication rhythm.
The partner presents and ships the work to its client. Responsibilities, review points, and how we appear (or do not appear) are agreed before build starts.
Before work starts we agree the deliverable, the stack, who reviews what, and how the partner wants us to communicate. That can include working only with the partner, joining selected client calls, or staying unnamed on the engagement. Confidentiality terms are handled in the agreement for that project, including an NDA when needed.
Pricing is quoted after a short brief. These are the models we work with.
For clearly defined work, such as a RAG service, an LLM feature, or an API integration. Price, deliverable and review points are agreed before build starts.
For evolving requirements. Billed hourly or by milestone, with regular reviews so you can see progress and adjust scope as the brief develops.
For ongoing partnerships where you expect a steady flow of AI and engineering work. Discussed once we have worked together on a first project.
There is no rigid minimum at this stage. We can evaluate a small pilot as readily as a larger engagement, based on scope, technical complexity and partnership potential.
We work remotely and can arrange 2 to 4 hours of daily overlap with UK and US teams, depending on the project and the working hours we agree.
We do not contact your client, approach them for direct work, or reuse your project details without your written agreement. This is written into the project agreement, not left as an understanding.
Large multi-team programmes, work that needs on-site staff, and regulated projects where you need a certified vendor are better suited to others. If your brief is outside the focused list above, we will say so early rather than stretch to fit.
A short description is enough, and we reply within one business day. If email is easier, write to hello@sekerai.com or book a call.