Generative AI

Generative AI Consulting for Buyers Who've Already Seen the Demos.

Evaluate a GenAI partner the way you'd evaluate any critical vendor: on grounding, evaluation rigor, security and the ability to get you from proof-of-concept to production. Not on how good the sales demo looks.

Overview

What to Look for before You Hire a GenAI Consulting Partner.

Most GenAI consulting engagements fail for the same reason: the vendor can build a demo but not a production system. Before you hire, you should be able to see how a partner grounds answers in your data, how they evaluate quality beyond "it looks right," and how they secure a system that touches customer or internal data.

We're built to be evaluated on exactly those terms. Every RAG chatbot or LLM application we deliver runs on a defined evaluation harness, documented guardrails and a security posture that holds up to your compliance review. Not just a working prototype on launch day.

Capabilities

What We Deliver

01

RAG chatbot development

Enterprise AI chatbots grounded in your own data, with citations and access control.

02

LLM application development

Production-grade applications built on LLMs. Not prototypes that stall after the demo.

03

Evaluation & benchmarking

A defined evaluation harness measuring groundedness, relevance and hallucination rate before launch.

04

Guardrails & responsible AI

Safety filters, refusal behavior and human-in-the-loop review built in from day one.

05

Secure, compliant delivery

Private, audited deployments that satisfy security and compliance review, not just engineering sign-off.

06

Proof-of-concept to production

A defined path from pilot to a system your customers and auditors can both trust.

Skills & technologies

What We Bring to the Table

Retrieval-Augmented Generation (RAG)
LLM & GenAI integrationLLM integration (OpenAI, Anthropic, open-source models)
Enterprise AI chatbot development
Prompt engineering & evaluation harnesses
Vector databases (Pinecone, pgvector, Weaviate)
AI guardrails & responsible-AI review
Fine-tuning & model evaluation
Who it's for

Ideal When You're Here

01

Enterprises evaluating GenAI vendors

A partner you can hold to the same evaluation bar as any other critical software vendor.

02

Stalled GenAI pilots

Take a proof-of-concept that never shipped and get it into production, properly evaluated and secured.

03

Regulated industries

Deploy GenAI with the guardrails and audit trail your compliance team will actually sign off on.

Trusted by teams building at scale

How we engage

A Clear Path from First Call to Shipped Work

  1. Discover

    A free consultation to understand goals, constraints and the shape of the work.

  2. Shape

    A costed plan, team-sizing and roadmap. So you know exactly what you're getting.

  3. Build

    Agile delivery with security and quality, shipping in short, visible increments.

  4. Scale

    Grow the team or platform as you succeed. From a squad to a full capability.

Engagement Model

One Team.
Four Ways to Engage.

Whether it's on-demand capacity, a managed pod, or your own offshore centre, every model runs on the same processes and certifications.

Model 01

Time & Material (T&M)

Vetted senior engineers on demand, billed for actual effort, flex the team up or down with open timesheets. Our IT staff augmentation model for teams that need to move now.

Model 02

MSP (Managed Service Provider)

A dedicated managed pod owns the outcome against agreed SLAs, at a predictable monthly cost, open book.

Model 03

Build, Operate, Transfer (BOT)

We stand up the platform and pipelines, operate and stabilise them, then transfer the capability to your team.

Model 04

Global Capability Centre (GCC) & Staffing

A dedicated offshore team you will own, scaling to 300+ seats, with hiring and facilities handled and dual shore governance.

Need More Information?

Generative AI Consulting. Your Questions Answered

Ask how they ground answers in your data, how they evaluate quality beyond a demo, and how they secure the system. If a vendor can't answer all three with specifics, that's a signal. Not a technicality.

We ground responses in your data using retrieval (RAG), add guardrails and citations, and run automated evaluation harnesses to measure and reduce hallucination before and after launch.

Yes. We deploy into private, compliant environments with full audit trails. As an ISO 27001:2022 and SOC 2 certified partner, data protection is central to how we build.

Yes. We regularly inherit GenAI proof-of-concepts that stalled and take them through evaluation, guardrails and secure deployment to get them live.

Explore more

Related Insights

Ready to Talk Generative AI Consulting?

Book a free 30-minute consultation and get a clear technical direction.

Let's Talk