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 using proven agentic patterns — ReAct loops, orchestrator–worker, evaluator–optimizer, and human-in-the-loop checkpoints. Agents that research, decide, execute, and report back — not just respond.
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.
We build across the full RAG maturity ladder — from advanced hybrid retrieval to GraphRAG and adaptive/agentic RAG. Reranking, query decomposition, HyDE, and RAGAS-based eval harnesses so you know retrieval quality at every iteration.
We build multimodal pipelines that process text, images, audio, video, and documents together — unlocking use cases that unimodal models can't touch. Invoice extraction, video understanding, image-grounded Q&A, and real-time scene analysis, all production-ready.
We deploy and fine-tune reasoning-capable models — o3, o4-mini, Gemini 2.5 Pro, DeepSeek-R1 — for tasks that require multi-step logic, mathematical reasoning, code generation, and complex planning. Matched to the right problem, not just the most popular model.
We instrument every AI system we ship with full tracing, prompt versioning, cost/latency monitoring, and eval pipelines — heuristic evals on 100% of traces, LLM-as-judge on a sample, periodic human annotation. You see exactly how your AI performs in production, not just in demos.
Production AI needs defences, not just demos. We build input/output guardrails, PII/DLP redaction, prompt-injection and jailbreak defence, tool-misuse prevention, and content filtering aligned with the OWASP Top 10 for LLM Applications. Safety is architecture, not an afterthought.
We build AI architectures that are audit-ready for regulated environments — HIPAA for healthcare, SOC 2 for SaaS, and EU AI Act obligations (high-risk provisions effective August 2026). Covers NIST AI RMF alignment, human-in-the-loop controls, and data residency requirements.
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.
End-to-end cloud architecture, migration, and DevOps on AWS and Azure — scalable, secure infrastructure with CI/CD pipelines, containerisation, and ongoing monitoring.
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.
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.
Projects across FinTech, Healthcare, eCommerce, SaaS, Construction, EdTech & more
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%.
Built the world's first AI valuation engine for music IP — artists and catalog owners plug in royalty data, streaming stats, and catalog history to get real-time valuations, forecasted earnings, and investor-ready reports in seconds. Includes a mobile app, API protocol for enterprise integrations, and an AI financial analytics layer covering deals, royalties, and catalog performance.
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.
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.
HIPAA-aware agentic pipeline for ambient clinical documentation and prior-authorization — reads clinical notes, extracts structured data, cross-checks payer policy, and submits auth requests automatically. Reduced clinician documentation time and accelerated reimbursement cycles.
Rescued a hallucinating RAG implementation built by a previous vendor. Rebuilt with hybrid retrieval, reranking, RAGAS-based eval harness, guardrails, and full LangSmith observability. Retrieval faithfulness went from unreliable to measurably accurate — solid in production for 6+ months.
End-to-end multimodal extraction pipeline for invoices, contracts, and forms — GPT-4o vision extracts structured JSON, validated against ERP/PO databases, with human-review routed only for low-confidence extractions. 90%+ extraction accuracy at a fraction of manual processing cost.
Most agencies add an AI tab to their services page. We started from AI and built the rest of the stack around it — full-stack, cloud, mobile, and eCommerce engineering in-house so nothing stalls on an infrastructure gap. Every engineer here has shipped production AI: agents, RAG pipelines, fine-tuned models, or voice AI. MIT research shows only ~5% of AI pilots achieve measurable revenue impact. The gap is always workflow integration, evals, and guardrails — exactly where we work.
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.
No black boxes. Every project follows the same disciplined five-step process — whether it's an AI agent, a mobile app, or a cloud migration. You always know where things stand.
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