We architect artificial intelligence, workflow automation, digital transformation, and Business Intelligence systems to make enterprise operations faster, more reliable, and infinitely scalable.
48+
Deployed Missions
35%
Cost Reduction
99.9%
Platform Uptime
4.9/5
C-Level Satisfaction
03 — OUR SERVICES
From generative AI architectures to autonomous multi-agent systems, explore our production-grade intervention areas.
We architect advanced RAG pipelines orchestrated with LangGraph, combining hybrid vector search and semantic reranking. Each functional layer incorporates anti-hallucination guardrails and continuous evaluation to ensure deterministic reasoning over enterprise data.
Latence RAG
280 ms
Précision
94.2 %
We deploy resilient orchestration layers powered by Temporal and n8n to automate mission-critical operational flows. The architecture guarantees transaction idempotency, automated failure recovery, and standardized integration via OpenAPI.
Tâches auto.
65 %
Gain temps
45 %
We structure distributed multi-agent architectures using the MCP protocol and LangGraph to resolve complex processes through dynamic task decomposition. Each agentic building block collaborates via shared Redis memory with comprehensive execution tracing in Langfuse.
Agents déployés
38
Autonomie
72 %
End-to-end data platforms: ingestion, semantic modeling, executive dashboards and predictive alerting. Data becomes a daily operational lever.
Dashboards
42
Sources data
28+
The most common operational bottlenecks that we transform into levers of efficiency.
End-to-end automation and bidirectional sync via n8n pipelines and unified APIs.
Vector enrichment, RAG modeling and low-latency LLM reasoning with zero hallucinations.
Production telemetry, activity streams, and explorable infrastructure: the data powering your operations.
Automated Processes
AI Agents in Production
Platform Uptime
99.9%
Automated Processes
48 flux
AI Agents in Production
38
P95 Latency
< 280 ms
From initial discovery to continuous run, our methodology guarantees a derisked engagement with rapid ROI.
Legacy audit & ROI prioritization
Architecture audit and ROI-driven use-case prioritization: identifying together where AI creates measurable business impact.
Demonstration of a benchmark operational transformation: verified metrics and deployed architecture.
Deployment of a cognitive RAG agent coupled with an n8n automation pipeline and real-time PowerBI decision dashboard with continuous audit trail.
09 — INSIGHTS
Explore our latest technical briefs, architecture benchmarks, and practical field guides on AI and automation.
Why 80% of agent POCs fail to scale, and the 5 architectural pillars that make the difference between a demo and a reliable system.
A comprehensive evaluation framework for your retrieval-augmented pipelines: faithfulness, answer relevance, context precision and A/B testing strategy.
Technical comparison and field feedback on two orchestrators with opposing philosophies. Which to choose based on criticality and volume?
Concrete feedback from CTOs, CIOs, and executive teams transformed by our systems.
“Analyticatech transformed our compliance center. AI agents now process 100% of transactions in real time, where only 30% were covered before.”
K. Moreau
Chief Risk Officer · European Bank
“Moving to an event-driven agentic architecture cut our time-to-market by a factor of three. The team masters both strategic vision and execution.”
J. Favier
CIO · Logistics Group FR
“A sovereign data platform delivered in 4 months, SecNumCloud-compliant. No more contradictory figures across departments: a single source of truth.”
N. Haddad
Public Sector CIO · Local Authority
10 — FAQ
What executive leaders ask most frequently before initiating an enterprise AI or automation project.
It depends on the scope: a functional Proof of Concept (POC) is delivered in 2 to 4 weeks, a complete production system in 8 to 12 weeks. We deploy in observable increments for rapid, measurable ROI.
11 — FINAL CTA
A focused call to evaluate your context, priorities, and high-ROI systems.