Analytico is an AI engineering company. We design and ship multi-agent systems, MCP servers, RAG pipelines, voice AI, and enterprise copilots — from prototype to production. Full-stack and cloud capabilities sit underneath, in service of the AI.
Every team member has shipped AI to production. We work at the architecture layer — designing agent loops, tool use, memory, orchestration, and evaluation pipelines — not just wrapping APIs.
We build single and multi-agent systems with tool use, memory, planning loops, and error recovery. Agents that don't just respond — they research, decide, execute, and report back.
We design, build, and host MCP servers that give your LLM reliable, structured access to your internal tools, databases, APIs, and workflows — the connective tissue of modern AI systems.
Beyond naive chunking. We build hybrid retrieval pipelines with reranking, query decomposition, metadata filtering, and evaluation harnesses to measure retrieval quality at every iteration.
Custom copilot interfaces for sales, support, ops, and engineering teams. Grounded in your company data, integrated with your existing tools, and designed to reduce the time your best people spend on low-leverage work.
Real-time voice agents for customer support, intake flows, and internal tooling. We handle STT/TTS pipeline design, latency optimization, interruption handling, and integration with your existing telephony or product stack.
From fine-tuning LLMs on domain-specific corpora to training YOLO-based detection models on proprietary datasets. We own the full ML lifecycle: data, training, eval, deployment, and monitoring.
Our agents, copilots, and ML systems are live in production across FinTech, Healthcare, eCommerce, SaaS, Construction, and EdTech. Not pilots. Not demos. Shipped.
From AI agents and ML pipelines to SaaS platforms, cloud infrastructure, mobile apps, and eCommerce stores — we cover the full stack. AI is our core, but we bring every discipline in-house so your product ships complete.
Our primary practice. LLM agents, multi-agent orchestration, MCP servers, RAG architectures, and enterprise copilots — designed for production reliability, not demos.
End-to-end ML — from data engineering and model training to deployment and drift monitoring. We own the full lifecycle so models keep performing after launch.
We build robust SaaS platforms and web applications end-to-end — clean APIs, scalable data models, and polished frontends. From MVP to production-grade product.
End-to-end cloud architecture, migration, and DevOps on AWS and Azure — scalable, secure infrastructure with CI/CD pipelines, containerisation, and ongoing monitoring.
Cross-platform iOS and Android apps with smooth UX, real-time features, and deep integrations — from healthcare and fintech to workforce scheduling and consumer products.
Custom storefronts, conversion-rate optimisation, and platform migrations — helping eCommerce brands sell more through Shopify, WooCommerce, and bespoke full-stack solutions.
Domain-specific GPT support agent with intelligent model routing, structured prompt engineering, and multi-turn context memory — handling complex queries at scale and cutting cost per conversation by ~60%.
Custom computer vision pipeline that turns passive CCTV feeds into real-time operational intelligence — detecting open boots, occluded vehicles, and car parts for smart parking and security systems.
Cross-platform mobile app with an AI backend enabling doctors to manage and track patient treatments on the go. Integrated with Django AI APIs, real-time sync, and secure clinical data transfer. Live on App Store.
Microservices backend ingesting millions of IoT asset events in real time — architected from the ground up for AI analytics layers. Elasticsearch powers sub-second queries that feed predictive maintenance and anomaly detection models.
Conversion-first Shopify store with AI-powered product recommendations, custom bundle funnels, in-cart upsell logic, and an ongoing CRO iteration cycle driven by real performance data.
Real-time booking platform with an AI matching layer that scores and ranks freelancer-to-job fit based on skills, availability, and past performance — reducing manual search time and improving placement quality at scale.
Most agencies add an AI tab to their services page. We started from AI and built the rest of the stack around it. Every engineer here has shipped an AI system to production — agents, RAG pipelines, fine-tuned models, or voice AI. That's the difference.
Not bolted on. Our AI practice isn't a service line — it's the reason the company exists. Every other discipline supports it.
20+ AI systems live in production. We know where agents break, where RAG retrieval degrades, and how to ship systems that hold up under real load.
PMI-certified PMs keep AI projects on track — important when scope, models, and evals evolve mid-build.
Strict NDAs, security audits, and compliance-first AI architecture. Your training data and system prompts stay yours.
We build evaluation frameworks alongside the AI system. You see how it performs — not just in demos but in production.
Models drift. We monitor, retrain, and iterate after go-live. AI is a living system and we treat it that way.
AI projects fail for known reasons: unclear success criteria, no evaluation framework, scope that shifts as models evolve. Our five-step process addresses each one up front.
Define the problem, success metrics, data availability, and what "good enough" looks like before writing a line of code.
Design the AI system architecture and evaluation framework together — so you know how to measure it from day one.
Rapid prototype, human eval sessions, and prompt/architecture iteration before committing to a production build.
Two-week sprints with daily standups, weekly evals review, and transparent progress against agreed benchmarks.
Staged deployment with live eval monitoring, drift detection, and a support SLA that keeps the AI performing post-launch.
We hired Analytico to build a custom AI support agent and integrate it with our CRM. They took time to understand our workflows before designing the agent architecture — not just the prompts. The result cut our support ticket volume by nearly 40%. Their engineers understood agent reliability in a way most vendors don't, and the eval framework they built gave us real confidence before go-live.
After struggling with a hallucinating RAG implementation from another vendor, we brought Analytico in to rebuild our AI data architecture from scratch. They designed a proper hybrid retrieval pipeline with reranking and evals — and explained every architectural decision clearly. The weekly reviews kept us informed and the system has been solid in production for six months.
Analytico built our AI-powered mobile app in React Native — the AI features worked seamlessly on both iOS and Android, which isn't easy to get right. They also handled the App Store submission. What stood out was how thoughtfully they designed the AI interaction patterns in the UI — it felt natural, not bolted on. Would work with them again for our next AI product.
Tell us what you're trying to automate, augment, or build. We'll respond within 24 hours with a technical assessment — not a sales deck. We speak AI engineer to AI engineer.
Whether you have a fully-scoped AI system or just a problem you think AI could solve — we'll help you figure out what to build, how to build it, and what success looks like. No pitch. Just honest technical advice from engineers who've done it.
30 minutes with an AI engineer — no sales, just substance