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Generative AI

Build with Generative AI experts

We ship generative-AI features that actually pay off, grounded in your data, guarded against the ways they can fail, and built for real production traffic.

1–2wks
to project kickoff
2–4wks
to first working software
100%
code & IP ownership
6–10yrs
average engineering experience

This is for teams putting Generative AI into production, grounded in real data and judged on honest evaluation, not a demo that stalls after the pitch.

Custom Generative AI Development Services

We build Generative AI solutions that hold up in production, anchored in your data, judged on honest evaluation, and defended against the ways they can fail. We start from the problem, not the technology, then reach for the simplest approach that solves it reliably at scale.

We build generative AI systems that turn scattered documents, wikis, and databases into accurate, searchable answers. Connecting large language models to your own data gives employees a tool they can trust for context-rich responses in real time, which means faster decisions, lower support load, and far less time lost hunting for information.

How we help

We connect LLMs to your documents, wikis, and databases so employees get accurate, context-rich answers in real time.

We design and deploy AI pipelines that read, classify, and summarise high volumes of documents, contracts, invoices, claims, reports. Trained to respect your compliance standards while stripping out manual, repetitive work, they deliver measurable efficiency gains, lower error rates, and faster turnaround on the processes that matter.

How we help

We build pipelines that read, classify, and summarize high volumes of documents while respecting your compliance standards.

We build AI chatbots tailored to your data, workflows, and brand, not off-the-shelf bots. Customer-facing or internal, they integrate with your existing systems to give reliable, context-aware support, which shows up as faster responses, stronger engagement, and teams freed to concentrate on higher-value work.

How we help

We build assistants tailored to your data, workflows, and brand that connect to your existing systems.

We build AI that sits on top of your BI and data platforms, turning raw numbers into clear, natural-language insight. It surfaces the trends, risks, and opportunities a static dashboard tends to miss, so insight arrives faster, business intelligence gets sharper, and teams align around decisions they can be confident in.

How we help

We turn raw numbers into natural-language insights on top of your BI platforms, surfacing trends that static dashboards overlook.

Our engineers build generative AI directly into your current stack, from CRMs to SaaS platforms, handling the data preparation, the security requirements, and the scaling so new AI features feel like a natural part of the product. That lets you launch intelligent capabilities that win customers and set your offering apart without slowing your team down.

How we help

We embed AI features into your CRM or SaaS stack, managing data prep, security, and scaling so they feel built-in.

We build generative AI that produces video, images, and 3D graphics straight from text or data, integrating enterprise models like Google Veo, Runway Gen-4, and Stable Diffusion into your products to automate creative production, localisation, and post-processing. You get faster asset delivery, lower production costs, and full control over brand safety and IP ownership, all inside a secure, enterprise-grade pipeline.

How we help

We integrate models like Google Veo, Runway Gen-4, and Stable Diffusion to automate creative production inside a secure pipeline.

Generative AI experts, AI-augmented

These are the AI coding tools our engineers use to ship faster and keep code clean, distinct from the AI systems we design and build for you.

CursorClaude CodeGitHub CopilotCodexWindsurfReplit

We use these tools inside strict guardrails, every line is reviewed by a person. See how we build →

1

Senior Generative AI engineers

Senior engineers with deep, hands-on Generative AI experience building production systems at scale.

2

Proven across industries

Our Generative AI teams have delivered AI work across healthcare, finance, retail, and logistics, bringing domain awareness and hard-won patterns to every engagement.

3

Enterprise-ready delivery

We hold high standards for security, testing, and documentation, and can scale a Generative AI team up or down without sacrificing speed or quality.

The Generative AI toolset

The generative AI toolset we work in: the ecosystem has matured into a stable set of frameworks, servers, and platforms that let us build scalable, reliable systems capable of meeting strict compliance demands. We pick proven tools that lower delivery risk and produce measurable outcomes.

We work with production-ready APIs and managed endpoints that put state-of-the-art models within reach while holding compliance, security, and predictable performance, so we can match the model choice to your infrastructure and governance.

OpenAI API
Azure OpenAI
Amazon Bedrock
Google Vertex AI (Gemini)
Anthropic Claude series
Meta LLaMA series

When full control over model behaviour and deployment matters, we turn to open-source LLMs like Mistral, LLaMA, and Falcon, direct access to the weights, cost-efficient fine-tuning, and on-prem deployment. Push their performance further with trusted tooling.

Mistral
LLaMA
Falcon
Hugging Face Transformers
PEFT (LoRA)
bitsandbytes

High-throughput serving is what shapes cost, latency, and scalability, so we use optimised inference stacks that are actively supported and production-proven to keep performance predictable under heavy load.

vLLM
Hugging Face TGI
NVIDIA TensorRT-LLM

Reliable generative AI rests on accurate retrieval, so we integrate vector databases and rerankers that are stable, battle-tested, and able to scale to any workload.

Pinecone
Weaviate
Milvus
PostgreSQL
pgvector
Elasticsearch
OpenAI Embeddings
Cohere Rerank

Application frameworks bring structure to agent workflows, retrieval pipelines, and integrations, so we work with the most widely adopted options, the ones that let us ship maintainable, observable systems quickly.

LangChain
LangGraph
LlamaIndex
Haystack
Microsoft Semantic Kernel

Every production deployment ships with guardrails for compliance and reputation, using moderation and policy tools that apply consistent controls across models and applications.

Azure AI Content Safety
Amazon Bedrock Guardrails
Google Vertex AI Safety Filters
OpenAI Moderation

Evaluation and monitoring are what keep GenAI systems reliable after launch, so we use dedicated tools to track accuracy, catch regressions, and hold visibility across the pipelines.

LangSmith
Ragas
DeepEval
Arize Phoenix

Strong outputs start with strong inputs, so we use specialised parsing and OCR tools to turn complex document sets into clean, retrievable data for RAG systems.

Unstructured
AWS Textract
Google Document AI
Whisper
Engagement

How you'd work with us on Generative AI

Pick the level of ownership that suits you. We shape the engagement around your goals.

1

Staff augmentation

Add senior Generative AI engineers to a team you already have.

2

Dedicated team

A committed Generative AI team that runs like your own.

3

Full delivery

Hand over the build and we deliver it end to end.

Explore engagement models

Generative AI FAQ

Unsure which stack suits your build?

Tell us what you're building, and we'll help you pick and build with the right stack.

Book a discovery call