Intelligence, in production.
We don't just talk about AI — we ship it. From chatbots and agents to LLMs, vision and automation, Rushcodelab builds AI systems that work in the real world.
“AI that ships” isn't a slogan.
It's how we operate.
60+ production AI features shipped, 40+ models in the wild, sub-second latencies and guardrails on every release.
AI features shipped
Models in production
Avg. inference latency
Avg. resolution rate
9 ways we put AI to work
Each solution is engineered for production — with guardrails, evals, observability and the SLAs your business depends on.
A complete AI stack
Six core capabilities that power every AI system we ship — composable, observable and battle-tested.
Retrieval (RAG)
Ground every answer in your knowledge base with vector search, reranking and citation.
Fine-tuning
Domain-adapt open or proprietary models with LoRA, RLHF and eval pipelines.
Agents
Goal-driven agents that plan, use tools and complete multi-step workflows autonomously.
Voice
Real-time STT, natural TTS and sub-second voice agents for calls and support.
Vision
Detection, OCR, segmentation and video analytics — on edge or cloud.
Automation
End-to-end workflow automation connecting 200+ apps with AI-driven decisioning.
From idea to production , fast
A proven four-phase methodology that turns ambitious AI ideas into reliable production systems.
Frame the use case
We define the outcome, success metrics, data sources and risks before writing a line of code.
Prototype fast
A working prototype in 1–2 weeks — prompt chains, retrieval, tools and a UI to test it.
Productionize
Guardrails, evals, observability and security — hardened for real users.
Optimize
Routing, caching, fine-tuning and cost reduction — continuous improvement in production.
Models & platforms we work with
Let's put AI to work for you. Ship in weeks.
Tell us the outcome you want — we'll design, build and operate the AI system that delivers it.