Data & AI

Generative AI Solutions.

Put generative AI to work on your data accurately and safely. We build enterprise assistants, copilots, RAG search and content solutions grounded in your information, governed and production-ready on Azure, AWS and Google Cloud.

Data & AI

Generative AI Solutions

Generative AI solutions use large language models to create content, answer questions, summarise and reason over your data — powering assistants, copilots, intelligent search and knowledge tools. Retrieval-augmented generation (RAG) grounds these in your approved data, so answers are accurate, current and specific to you.

Schnell Technocraft delivers enterprise generative AI end to end: RAG-grounded assistants and copilots, intelligent search, content and document generation, on Azure OpenAI, AWS Bedrock and Google Vertex AI. We build the data foundations, apply guardrails, evaluation and security, and operationalise with LLMOps — so generative AI is accurate, safe and reaches production, not just demos.

Why Schnell

Our Technology Ecosystem
MicrosoftAWSGoogle CloudZscalerAdobeFortinetSentinelOneCrowdStrikeFreshworksIBMAutodesk MicrosoftAWSGoogle CloudZscalerAdobeFortinetSentinelOneCrowdStrikeFreshworksIBMAutodesk

Challenges We Solve

The problems we address

Hallucination risk

Generic AI that invents answers and can't be trusted.

Data not AI-ready

Knowledge scattered and ungrounded for AI use.

Security & privacy

Concern over exposing sensitive data to AI models.

Stuck in pilots

Impressive demos that never reach production value.

What We Do

End-to-end capabilities

Engaged as advisory, implementation or a fully managed service.

Enterprise assistants & copilots

AI assistants grounded in your data and connected to your work.

RAG & knowledge grounding

Retrieval-augmented generation for accurate, current answers.

Intelligent search

Natural-language search across your enterprise knowledge.

Content & document generation

Generate, draft and summarise content and documents.

Vector databases & pipelines

Embeddings, vector stores and data pipelines for GenAI.

Model selection & tuning

Choose and tune the right model for accuracy, cost and privacy.

Guardrails & evaluation

Grounding, guardrails and evaluation for safe, accurate output.

LLMOps & production

Operationalise, monitor and control cost in production.

GenAI Delivery

From data to trusted AI

A structured approach that maps to how data and AI actually deliver value.

Ground

Prepare & index your data.

Retrieve

RAG for accurate context.

Generate

LLM output on your data.

Guard

Guardrails & evaluation.

Secure

Privacy & access control.

Operate

LLMOps & cost control.

Generic → Grounded

Generative AI you can trust

Off-the-shelf AI is generic and can hallucinate. We ground models in your approved data with RAG, add guardrails and evaluation, and keep it secure — so generative AI gives accurate, organisation-specific answers you can rely on and put into production.

Grounded

in your data

Accurate

RAG + evaluation

Secure

private & governed

Use Cases

Where we help most

Enterprise assistants

Copilots grounded in your knowledge.

Intelligent search

Ask questions of your enterprise data.

Content generation

Draft and summarise at scale.

Customer-facing AI

Grounded, governed customer assistants.

Our Approach

How we deliver

A proven method discover, design, build and operate.

1

Discover

Identify use cases and assess data readiness.

2

Ground

Build data pipelines, embeddings and RAG.

3

Build

Develop the assistant, search or generation solution.

4

Guard & secure

Add guardrails, evaluation, privacy and access control.

5

Operationalise

Deploy with LLMOps, monitoring and cost control.

The outcome

Generative AI that delivers real, trusted value — assistants, search and content grounded in your data with RAG, governed with guardrails and security, and operationalised with LLMOps, so it reaches production reliably.

Deliverables

What you get

Why Schnell

A data & AI partner you can rely on

Grounded & accurate

RAG and evaluation for output you can trust.

Multi-cloud & model-flexible

Azure OpenAI, Bedrock, Vertex AI and open models.

Secure & responsible

Privacy, guardrails and governance by design.

Pilot to production

We operationalise GenAI, not just prototype it.

Related Services

Explore more

AI Agents & MCP Integration
Machine Learning Services

AI & Agent Security

Virtual Agents & Copilot Solutions
AI Cloud Infrastructure
Data Engineering Services

FAQ

Questions, answered

Generative AI solutions use large language models and other generative models to create content, answer questions, summarise, and reason over your data — powering assistants, copilots, content generation, search and knowledge tools grounded in your enterprise information.
RAG grounds a generative model in your own data: it retrieves relevant, approved content and feeds it to the model so answers are accurate, current and specific to your organisation — rather than generic or hallucinated.
Enterprise assistants and copilots, intelligent search and knowledge tools, content and document generation, summarisation, code assistance, and customer-facing AI — all grounded in your data and governed.
We ground models in approved data (RAG), apply guardrails and evaluation, control access, and keep your data secure and private — with human oversight for high-impact outputs — so generative AI is accurate and safe.
We work across Azure OpenAI, AWS Bedrock and Google Vertex AI, plus open models where appropriate — choosing the right model for accuracy, cost, privacy and your use case.
We build on solid data foundations and MLOps/LLMOps, with evaluation, guardrails, monitoring and cost control — so generative AI reaches production reliably and delivers measurable value, not just demos.

Talk to our data & AI team

Ready to put your data to work?

Tell us your goals. We'll come back within one business day with the right expert and a clear next step.