AI engineering

Intelligence,
engineered for your business.

From the first prototype to a model running on your own infrastructure — we design, build, deploy, and operate AI that delivers measurable business value.

Why NavitraTech for AI?

We don't bolt AI on as an afterthought. We architect solutions from the ground up — secure, observable, and aligned to your data and workflows.

✓ Secure by design ✓ Production-grade engineering ✓ UK data sovereignty available ✓ No vendor lock-in
Our AI offerings

Four ways we add intelligence

🤖

Chatbots & Assistants

Conversational AI trained on your knowledge base and deployed across your channels. We handle fine-tuning, retrieval augmentation, prompt engineering, and ongoing improvement — so the assistant stays accurate as your business evolves.

RAGMultilingual Web & WhatsAppSlack / Teams Human escalationGDPR-ready
Build your chatbot

Use cases

  • Customer support deflection (answer FAQs 24/7)
  • Internal helpdesk (IT, HR policy, onboarding)
  • Lead qualification & sales pre-screening
  • E-commerce product guidance & upsell
  • Retail ERP assistant (stock queries, reports)
⚙️

Autonomous Agents

Beyond chat — agents that observe their environment, plan multi-step tasks, call tools and APIs, and complete complex workflows without constant human input. We build safe, auditable agentic systems with configurable human-in-the-loop checkpoints.

Tool useMulti-step planning Human-in-the-loopAudit trails API orchestration
Explore agents

Use cases

  • Research automation & competitive intelligence
  • Automated code review & test generation
  • Document processing & data extraction pipelines
  • Multi-system workflow orchestration
  • Decision-support agents with approval gates
🧠

LLMs Built from Scratch

For organisations with specialist domains, sensitive data, or the need for full control. We build and fine-tune language models end-to-end — from domain-specific pretraining to RLHF alignment — deployed on your own infrastructure.

PretrainingFine-tuning RLHFOn-prem / VPC Model eval & red-teaming
Discuss your LLM

What we deliver

  • Domain-specific pretraining on proprietary data
  • Supervised fine-tuning & instruction following
  • Private deployment (on-premise or isolated cloud)
  • Model evaluation, red-teaming & safety testing
  • Ongoing training pipelines & model versioning
🔗

AI Integration

Already have a platform, ERP, or workflow? We add intelligence to your existing systems — no forced rebuilds. APIs, RAG pipelines, vector search, and custom middleware designed for your architecture, with monitoring and cost controls from day one.

API-first designRAG pipelines Vector searchERP / CRM Cost controls
Plan your integration

Integration targets

  • NavitraTech Retail ERP (AI-ready modules)
  • CRM, helpdesk & ticketing systems
  • Internal document stores & knowledge bases
  • E-commerce platforms & product catalogues
  • Bespoke systems via REST / webhooks
Our approach

How we deliver AI

The same engineering rigour we apply to all software: documentation-first, security-by-design, and measurable outcomes at every stage.

01

Discover

Understand your use case, data landscape, risk tolerance, and success metrics before writing a line of code.

02

Design

Choose the right architecture — model type, retrieval strategy, agent loop, or integration pattern — for your constraints.

03

Build

Iterative delivery with evals, red-teaming, and stakeholder demos at each milestone. No surprises at launch.

04

Operate

Monitoring, cost controls, drift detection, and continuous improvement — so your AI stays reliable after go-live.

Why NavitraTech

Built like real software, not a demo

🔒 Security & compliance first

Data privacy controls, audit logging, and UK GDPR alignment — designed in from day one, not bolted on after.

📊 Measurable outcomes

We define accuracy benchmarks, latency targets, and cost-per-query before we start — then we track them.

🏗️ Production-ready from day one

CI/CD pipelines, monitoring dashboards, fallback handling, and runbooks — so your ops team can own what we build.

🧩 Fits your existing stack

We integrate with your tools, data sources, and infrastructure. No forced migrations. No new platform lock-in.

Common questions

FAQ

A chatbot with a modest knowledge base can go live in 2–4 weeks. An autonomous agent or custom LLM is typically a 2–4 month engagement depending on data readiness and deployment complexity. We'll scope it clearly in the discovery phase.
Yes. We integrate with your existing documents, databases, CRMs, and APIs. For AI integration projects, the goal is to add intelligence without forcing a platform rebuild.
Absolutely. All our AI solutions can be deployed on your own infrastructure — on-premise or in a private VPC. This is our default recommendation for sensitive data. UK data residency is always available.
Yes, we're happy to sign an NDA before the discovery call. Just mention it when you get in touch and we'll have it ready before our first conversation.
Before we build, we agree on specific metrics — e.g. answer accuracy ≥ 90%, response latency < 2 s, cost per query < £0.01. We include an evaluation harness in every project so you can track these in production.

Ready to build
something intelligent?

Tell us your AI challenge. We'll map out a practical, secure path forward — no jargon, no pressure.

Start the conversation
Free initial consultation No commitment NDA available