// PROFESSIONS

Agents for tech & product

Make agent features and internal workflows reliable through guardrails, evidence and progressive transfer to product and engineering teams.

LLM
Model-agnostic
Prod
Product reliability
Obs.
Observability
Squad
Embedded teams

Pains we know too well

  1. Fragile agent features in production

    Latency, hallucinations, token cost, drift: the product POC does not survive real traffic.

  2. Integration and governance debt

    Hard-coded prompts, no evals, no fallbacks, improvised data pipelines.

  3. Product / platform / business gap

    Without shared framing, every squad reinvents an incompatible agent stack.

What Remparia can build for you

  • Product Agent strategy: use cases, architecture, model choices
  • Industrialization of agents and features (eval, monitoring, cost)
  • RAG and data readiness on proprietary data
  • Sovereign or hybrid infra patterns by policy
  • Embedded pods / teams to accelerate the roadmap
  • Transfer to your engineering & product squads

Three concrete use cases

Illustrative scenarios — every deployment is scoped with signed KPIs before production.

Head of Product
Need

Target to define — Move from impressive demo to stable feature.

Remparia

Possible deployment — We set evals, guardrails, observability and exit criteria — then industrialize with your squads.

CTO / platform
Need

Target to define — Avoid an agent stack jungle per team.

Remparia

Possible deployment — We define a reference architecture, agent patterns and reusable data/model governance.

Data / ML team
Need

Target to define — Accelerate without hiring a full agentic army.

Remparia

Possible deployment — Embedded Remparia teams to ship, document and transfer — not an external black box.

Frequently asked questions

Are you locked to one model vendor?

No. LLM-agnostic: best model per task, with switchability by cost, performance and sovereignty.

Do you work in our codebase?

Yes — embedded or co-delivery, with engineering standards, tests and progressive ownership by your teams.

How do you handle cost and latency?

From design: model routing, cache, truncation, regression evals and budgets — not after the cloud bill.

Can you audit an existing agent stack?

Yes. SIGNAL diagnostic: risks, debt, quick wins, then an industrialization roadmap.

// READY TO START

Show us the workflow costing you time.

In one hour, we frame repetitive work, data constraints and the gains to measure — with a partner, not a salesperson.