Generative AI Solutions Development
Fine-tuned LLMs, RAG pipelines, and domain-specific generation — from internal copilots to customer-facing AI products.
Built for teams like yours
Enterprise knowledge teams
Internal copilots over SharePoint, Confluence, and ticket history.
Customer-facing products
Embedded generation with brand-safe outputs and rate limits.
Regulated sectors
Finance and legal — audit trails, PII redaction, and EU residency.
Capabilities included in your build
Custom LLM fine-tuning
Adapt models to your tone, terminology, and compliance constraints.
RAG pipeline architecture
Chunking, retrieval, reranking, and eval suites tuned to your knowledge base.
Domain-specific training
Specialised models for legal, medical, finance, or ops vocabularies.
Multi-modal output
Text, image, and code generation behind a single governed API surface.
API & SDK delivery
Production endpoints with auth, rate limits, and observability from day one.
Hallucination monitoring
Automated evals, citation requirements, and human review for high-risk answers.
How we ship
- 01
Discovery
We start with a structured workshop to map goals, users, constraints, and success metrics.
- 02
Design
Wireframes evolve into interactive prototypes you can test with real users before a line of production code is written.
- 03
Build
Weekly demoable increments, written tests, and code reviews — no surprises at launch.
- 04
Launch
Hardened deployments, observability, and a launch plan covering rollout, comms, and rollback.
- 05
Iterate
Post-launch we track usage, fix friction, and ship improvements on a cadence that fits your roadmap.
Engineered for outcomes, not invoices
- Ship a governed copilot in weeks, not a year of internal R&D
- Ground every answer in approved sources with citation trails
- EU-hosted inference options for regulated data classes
- Eval dashboards your compliance team can audit
- Optional 24/7 model ops and SRE post-launch
A modern, proven foundation
We pick boring, battle-tested tools so your platform stays maintainable five years from now.
Common questions
+How is generative AI different from a standard chatbot?
We focus on creation workflows — drafts, summaries, code, and assets — with stronger guardrails and brand voice control.
+Can we use our own documents without sending them to OpenAI?
Yes — self-hosted embeddings, private VPC deployments, and EU-only routing are standard options.
+How do you reduce hallucinations?
RAG with citations, eval datasets, refusal policies, and human-in-the-loop for regulated outputs.
+What's a realistic timeline for a copilot v1?
8–14 weeks for an internal copilot with SSO, RAG, and admin controls; customer-facing adds compliance review time.
+Do you support image and code generation?
Yes — multi-modal pipelines behind the same auth, logging, and content policy layer.
Ready to build Generative AI Solutions?
Send us a brief — you'll hear back within one business day with next steps.