Recenzo – AI-powered Google review management
Multi-tenant platform managing Google reviews across multiple business locations from a single dashboard
Production AI engineering for B2B software teams
One AI workstream, from backlog to production.
Brainic designs and ships a bounded AI feature or workflow inside your existing product and stack, with security, evaluation, observability, and handover built into the release.
Selected outcomes
One offer, three starting points
Production AI engineering.
We do not sell isolated technologies. We take responsibility for a bounded outcome inside the existing product.
Explore the offer- 01
Ship an AI feature
We build and integrate an AI feature or workflow into your current product, APIs, and user experience — not a detached demo.
- 02
Harden an AI pilot
We add evaluations, guardrails, observability, fallback paths, cost boundaries, and operational ownership to a pilot that has outgrown experimentation.
- 03
Unblock the foundation
We fix the APIs, data, integrations, or cloud foundation only where they block the accepted AI workstream.
Evidence, not promises
Selected work.
Business networking and collaboration platform
40+ person team coordinated over 1.5 years, from architecture to production
SwiftShop: Enhanced Customer Experience with AutoRAG
62% lower first response time for support interactions
Jobful – gamified recruitment platform
95% code reuse between Android and iOS, with native performance on both platforms
Definition of done
Production-ready is a system property.
The model is only one component. The release must be evaluable, operable, controlled, and maintainable by your team.
- 01 Repeatable evaluations and acceptance criteria
- 02 Data access, permissions, and auditability
- 03 Guardrails, fallback paths, and human intervention
- 04 Tracing, metrics, and operational alerts
- 05 Explicit cost and latency boundaries
- 06 Documentation, rollout, and ownership handover
Brainic method
Four stages. One technical owner.
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01
Fit & constraints
Clarify the problem, users, data, internal owner, and boundaries.
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02
Assessment & acceptance
Define architecture, risk, and what an acceptable outcome means.
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03
Build & evaluate
Ship vertical slices, integrate into the stack, and measure real behavior.
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04
Launch & handover
Control rollout, observe production, and transfer ownership.
Founder-led delivery
Architecture and delivery are not delegated through an account layer.
Silviu Stroe directly owns assessment, architecture, and technical decisions. Additional specialists join only when the accepted scope requires them.
AI tooling accelerates implementation; security, acceptance, and accountability remain human-owned.
How the studio operatesFit
Clarity before kickoff.
Good fit
- Existing B2B product and real users
- Bounded workstream with an internal owner
- Controlled access to data and systems
- A team that needs an operable release, not only a demo
Not a fit
- Idea-stage MVP without product or users
- Generic website, app, or backlog execution
- Staff augmentation or lowest hourly rate
- Strategy decks without implementation ownership
Technical fit review
Have an AI workstream that needs to reach production?
Describe the product, current stage, and blocker. Brainic will assess whether the workstream is clear and suitable for the studio.