Internal flow prepared
Sort, synthesize and prepare the team’s recurring deliverables.
PROFESSIONS
Agents for tech & product
Make agent features and internal workflows reliable with guardrails, evidence and progressive transfer to product and engineering teams.
01 / What guides our engagements
LLM
Model-agnostic
Prod
Product reliability
Obs.
Observability
Squad
Embedded teams
02 / The problem
Pains we know too well
Fragile agent features in production
Latency, hallucinations, token cost, drift: the product POC does not survive real traffic.
Integration and governance debt
Hard-coded prompts, no evals, no fallbacks, improvised data pipelines.
Product / platform / business gap
Without shared framing, every squad reinvents an incompatible agent stack.
03 / The solution
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
04 / Business agents
What the agent carries, and what it never touches
05 / Use cases
Three concrete use cases
Illustrative scenarios. Every deployment is scoped with signed KPIs before production.
Head of Product
Need
Target to define : Move from a demo to a 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 a different agent stack 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 team.
Remparia
Possible deployment : Embedded Remparia teams to ship, document and transfer. Not an external black box.
06 / Related services
Missions that fit this industry
07 / FAQ
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.
08 / Other professions
Explore other professions
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