Why most AI agent projects fail in production
Most AI agent implementations are built for demos. They work when inputs are clean, prompts are hand-tuned, and nothing unexpected happens. The moment they meet real users and real data, they hallucinate, loop, or silently fail.
Peakvance brings rigorous software engineering discipline to AI development. We design agents the way we design any fault-tolerant distributed system: with well-defined state machines, explicit error boundaries, observability at every layer, and cost controls that prevent runaway inference spend.
What we build
Autonomous AI Agents
Purpose-built agents that reason, plan, and execute tasks reliably in production — not in a Jupyter notebook. We design agent architectures that handle failure gracefully and stay within cost and latency budgets.
Multi-Agent Orchestration
Complex workflows coordinated across specialized agents. We architect the routing, state management, and fallback logic that makes multi-agent systems trustworthy at scale.
Production RAG Pipelines
Retrieval-augmented generation built for quality and speed. We tune chunking strategies, embedding models, rerankers, and semantic caches to maximize relevance while minimizing cost.
LLM Inference Optimization
Serving large language models economically under real load. We reduce P95 tail latency, cut per-token cost, and instrument every layer so you know exactly what's happening in production.
Evals & Observability
Systematic evaluation frameworks and runtime observability so degradations are caught before users notice. Every AI system we ship includes evals and dashboards from day one.
Our approach to production AI
We don't treat AI components as black boxes bolted onto existing systems. We architect from the ground up: the retrieval layer, the inference pipeline, the orchestration logic, and the integration contracts — all owned and documented. When something breaks at 2am, you have runbooks, not mysteries.
Our technical team has shipped production AI systems across healthcare, B2B SaaS, and consumer applications. We know what works under load, what explodes, and what the vendors won't tell you.
Ready to build something that works in production?
Start a conversation about your AI systems project — or explore our other engineering capabilities below.