Design AI solutions for your specific tasks: assistants, agents, adapted models and prediction systems. Start with an assessable need, not a generic promise.
We start from a concrete task: classify documents, assist a team or extract information. We compare existing models and evaluate adaptation, RAG or fine-tuning against data, cost and quality. Training from scratch is not always the right choice.
BLURTEK / SOLUTION STUDIOILLUSTRATIVE DEMO
EXPLORE A SCENARIO
Information in its place.
Example data
Evaluation examples24demo
Quality criteria08demo
Compared versions03demo
What information can my team use to solve this task?
BLURTEK / ILLUSTRATIVE ANSWER
The assistant checks only sources permitted for this user. The answer includes references to review the original document; if evidence is missing, it asks for clarification or escalates to a person.
01 / Evaluation datasetConversation mockup, not a connected chat.
RELATED CAPABILITY WITHIN THIS SERVICE
Data and objectives
Define tasks, available data, usage rights and an evaluation set. Agree what would be useful and which errors are unacceptable.
Choose an initial process and an outcome you can verify. The custom ai development proposal connects scope, implementation and operations; it is more than a list of technologies.
Scope you can review
We document the starting point, people and systems involved in evaluation dataset. Requirements, exclusions and dependencies are made explicit before building.
Process and source map
Priorities and acceptance criteria
A verifiable first delivery
We validate a complete workflow in an agreed environment. We review the normal case and exceptions: insufficient permissions, missing data or integration failures.
Demonstration with your team
Recorded tests and corrections
A team that knows how to use it
Handover includes knowledge: how to operate, who can change what and who to contact. Maintenance, training and next phases are agreed so the solution does not become isolated.
Documentation and knowledge transfer
Ownership and continuity
Custom AI development
Let’s look at your use case.
Tell us what happens today, what needs to improve and which tools you use. We start by understanding it.
Combine these capabilities around your systems, priorities and team. The proposal specifies what is included, what connects and what remains out of scope.
01
Data and objectives
Define tasks, available data, usage rights and an evaluation set. Agree what would be useful and which errors are unacceptable.
02
Models and adaptation
Model selection, RAG, fine-tuning or task-specific models where justified. Compare alternatives using your cases and compute constraints.
03
Agents and product
Interfaces, tools and permissions to integrate AI into real workflows. Human confirmations, traceability and separation of sensitive actions.
04
Deployment and evaluation
On-premises, private or hybrid environments, versioning and quality monitoring. Plan operating costs, failures and rollback.
FROM SCOPE TO OPERATION
The workflow matters as much as the technology.
Start with a defined workflow and validate it with the people who will use it. Agree sources, permissions, integrations and acceptance criteria before expanding.
WHAT WE MEASURE
Quality on agreed tasks, latency, errors and cost per operation. Report limitations alongside results.
A POSSIBLE WORKFLOW
Custom AI development
01Define task
02Prepare evaluation
03Adapt and connect
04Operate with control
Workflow illustration · not a screenshot of a deployed product
DELIVERABLES AND SUPPORT
Something your team can actually use.
Documentation, knowledge transfer and a foundation for future development. Licences, support and responsibilities are defined in the proposal.
Feasibility report and baseline evaluation
Integrated pilot and access controls
Deployment, evaluation and rollback plan
FAQ
Let’s be clear.
Does custom AI mean training a large model from scratch?
Not necessarily. Usually we adapt existing models and build the application, data layer and controls. Training from scratch needs a dedicated assessment; model licences still apply.
What do you need to prepare a proposal?
Goals, current systems, users involved and time or budget constraints. If access to sensitive information is needed, we agree conditions and permissions first.
How are price and timeline defined?
After defining scope, integrations, volume and acceptance criteria. The proposal separates implementation, licences or infrastructure and maintenance where applicable.
CAPABILITIES THAT CONNECT
WE START BY LISTENING
Your next step, thought through together.
Tell us what needs to improve. We help you decide where to start and what is worth building.
