Automate the work
humans shouldn't
be doing.
We build AI systems that take the repetitive, high-volume work off your team's plate — so they can focus on the judgment calls only humans can make.
What we automate
Real automations,
measurable outcomes.
Intelligent Document Processing
Automatically extract, classify, and route data from invoices, contracts, forms, and emails. Eliminate manual data entry entirely.
AI Customer Support
Deploy context-aware support agents that resolve tier-1 tickets instantly, escalate intelligently, and learn from every interaction.
Sales & Lead Intelligence
Enrich CRM records automatically, score leads with predictive models, and trigger personalised outreach at the right moment.
Ops & Workflow Automation
Connect your entire tool stack — no more copy-paste between systems. Build AI-native workflows that handle exceptions, not just happy paths.
Our approach
How it works
Workflow Audit
We map every manual process in your business, identify automation ROI, and prioritise the highest-impact opportunities first.
Data & Integration Review
We assess your existing data quality, tool stack, and integration points — the foundation of any reliable AI system.
Prototype & Validate
Before committing to full build, we prototype the AI pipeline on a representative dataset so you can see real results early.
Production Build
We engineer robust, monitored AI systems with fallbacks, human-in-the-loop checkpoints, and full observability baked in.
Monitor & Improve
AI systems drift over time. We maintain, retrain, and optimise your automations as your business and data evolve.
Our stack
Best-in-class models,
pragmatically applied.
LLMs & Models
- GPT-4o
- Claude 3.5
- Gemini Pro
- Llama 3
- Custom Fine-tuning
Frameworks
- LangChain
- LlamaIndex
- Haystack
- CrewAI
- AutoGen
Infrastructure
- AWS Bedrock
- Azure OpenAI
- Pinecone
- Weaviate
- Qdrant
Orchestration
- n8n
- Zapier
- Make
- Prefect
- Apache Airflow
Built responsibly
AI you can trust
in production.
Data never leaves your infrastructure
On-prem or private cloud deployment available
Full observability on every decision
Logs, traces, and explanations for every AI action
Human-in-the-loop by design
Configurable approval gates for high-stakes actions
SOC 2 compatible architectures
Audit trails and access controls built in
Common questions
FAQ
Do I need a large dataset to get started?
Not always. Modern LLMs work well with small datasets for many tasks. We assess your data situation upfront and recommend the right approach — fine-tuning, RAG, or prompt engineering — based on what you actually have.
What if the AI makes a mistake?
Every system we build includes confidence thresholds, fallback logic, and human review queues for low-confidence decisions. AI handles the high-volume routine work; humans handle edge cases. We never remove human oversight from critical workflows.
How long before we see ROI?
Simple automations (document processing, email routing) typically show ROI within 4–8 weeks of go-live. More complex agent systems take 3–6 months to reach full effectiveness as they accumulate production data.
Can you integrate with our existing tools?
Yes. We integrate with virtually any tool that has an API — Salesforce, HubSpot, Notion, Slack, SAP, custom databases, and everything in between. If it has a webhook or REST endpoint, we can connect it.
Who owns the AI models after delivery?
You do. All fine-tuned models, training data pipelines, prompt libraries, and system architecture documentation are fully handed over. No vendor lock-in to us.
What would your team
do with 12 more hours?
Tell us your most painful manual process. We'll show you exactly how to automate it — no commitment required.