AI integrations and LLM applications
Add language-model features to an existing product: copilots, document tools, content workflows, and API-backed assistants.
Partnerships
AI and engineering support for software houses and agencies
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.
Who this is for
Teams that already deliver software — and need extra depth
We work best with partners who own the client conversation and need a capable technical counterpart, not another brand competing for the same account.
- Software houses and product studios
- Digital and marketing agencies
- Technology consultancies and IT service providers
- In-house teams that need extra AI or backend capacity
A typical situation
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.
What we can support
Technical projects we take on
The same focused set we lead with on the homepage. If the brief is outside this, we will say so.
RAG and knowledge assistants
Retrieval systems that answer from a defined knowledge base, with source tracking and a path to iterate on quality.
Machine learning and predictive analytics
Forecasting, scoring, and classification models connected to the data and workflows a team already uses.
AI agents and workflow automation
Tool-using agents and automations that complete multi-step work, with human review on the steps that need it.
Custom software, APIs, and backend integrations
Application, API, and integration work so AI features sit cleanly inside the product instead of as a disconnected demo.
Working together
How delivery can be arranged
White-label work is a discussion, not a published legal default.
Share the requirement
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.
We build the agreed slice
seKer AI provides the relevant engineering work — models, RAG, APIs, or product features — against a defined deliverable, stack, and communication rhythm.
Deliver together
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.
Scope, communication, and responsibility
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.
Start a conversation
Share the requirement
A short description is enough. If email is easier, write to hello@sekerai.com or book a call.
FAQ