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Brainic

Brainic method

From an open question to a concrete next step.

We start with your problem and choose the phase you need: assessment, prototyping, implementation, or improving a system. We define what you receive and how to evaluate it.

Discuss your project See the work

The stages adapt to the project. A technical assessment can be a standalone engagement, without a commitment to implementation.

  1. 01

    Goals & constraints

    Understand the problem and identify where Brainic can contribute, even if the solution is not yet defined.

    • Identify intended users and the decision-maker
    • Clarify the data and systems involved
    • Choose a first phase and clarify budget, access, and responsibilities

    Output

    A clear goal and a proposed first step, including what needs preparation before implementation.

  2. 02

    Technical assessment & acceptance

    Compare options, including using an existing solution, and clarify risks before investing in implementation.

    • Map architecture and data flows
    • Define acceptable quality, cost, and latency
    • Assess security and operational risk

    Output

    A technical recommendation, proposed scope, and acceptance criteria. Estimates include assumptions and uncertainties.

  3. 03

    Build & evaluate vertical slices

    Ship complete paths through the system, not isolated components integrated only at the end.

    • Build or integrate into the project systems
    • Run evaluations on relevant data
    • Add guardrails, fallback paths, and observability

    Output

    A functional increment evaluated under production-like conditions.

  4. 04

    Launch, observe & hand over

    Prepare rollout and agree who maintains the system: your team, a designated partner, or Brainic under a separate agreement.

    • Define rollout and operational fallback
    • Monitor quality, cost, and latency
    • Document and transfer ownership

    Output

    Observable release, documentation, and explicit ownership.

Same method, different emphasis

The starting point changes the primary risk.

01

New AI feature

The method starts with acceptance and product integration, not model selection.

02

Pilot that needs hardening

The focus shifts to evaluations, guardrails, observability, and edge-case behavior.

03

New product or integration

Define the smallest useful step: a feasibility check, prototype, first version, or system integration. AI is not required.

Working principles

Explicit decisions. Results you can evaluate.

Bounded scope
Agree what the phase includes and how changes to requirements will be handled.
Evaluation before optimism
A demo shows a possibility. Testing relevant cases reveals limits and what still needs improvement.
Integration into the real system
The existing product, data, and operations are part of the problem.
Explicit ownership
At the end, it must be clear who operates, observes, and decides.

First step

Let us clarify the first step.

Tell us what you want to achieve and what you have tried. We can start with a feasibility or architecture question.

Discuss your project