Generative AI & chatbots
Customer-facing and internal assistants grounded in your own content using retrieval-augmented generation (RAG).
AI Development
Practical AI that moves real business metrics
We design, build and deploy AI solutions — from LLM-powered assistants and AI agents to predictive models — that plug into your existing systems and data.
What we offer
AI Development services
AI agents & workflow automation
Agents that read documents, update systems and complete multi-step tasks with human review where it matters.
Machine learning models
Forecasting, classification, recommendation and anomaly detection models trained on your data.
Document intelligence
Extract, classify and summarise information from invoices, contracts, forms and emails at scale.
Computer vision & NLP
Image recognition, OCR, sentiment analysis and semantic search for products and operations.
AI strategy & governance
Use-case prioritisation, data readiness, evaluation, privacy and responsible-AI guardrails.
Technologies & tools
The right tools for the job
We choose tools based on your requirements, existing systems and long-term cost of ownership — not trends.
Why choose Bitware
- Start with a focused proof of concept, then scale what works
- Evaluation and accuracy testing before go-live
- Data privacy and security designed in from the start
- Integration with your CRM, ERP, helpdesk and databases
How we work
Our delivery process
Discover
Requirements, goals and constraints captured in a short discovery phase.
Plan
Scope, approach, team and timeline agreed before work begins.
Deliver
Iterative delivery with regular check-ins and transparent reporting.
Support
Ongoing optimisation, maintenance and support once you are live.
FAQ
AI Development — common questions
Where should we start with AI?
Usually with a short discovery workshop to identify two or three high-value, low-risk use cases, followed by a proof of concept in 3–6 weeks.
Is our data safe when using AI models?
We design solutions so sensitive data stays within approved environments, use enterprise model endpoints that do not train on your data, and apply access controls and logging.
Can AI work with our existing software?
Yes. Most of our AI work integrates with existing tools through APIs, so teams keep working in the systems they already use.
Do you build custom models or use existing ones?
Both. We often start with leading foundation models for speed, and train or fine-tune custom models when accuracy, cost or privacy requires it.
Get started
Request a free consultation
Tell us about your ai development needs. We will reply within one business day with next steps.
Email[email protected]
ConfidentialNDA available on request
Tell us what you need
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