General models, grounded in your knowledge.
Off-the-shelf AI knows the internet, not your products, policies or customers. Custom AI connects capable models to your own data and workflows, so answers are accurate, sourced and useful for your specific work.
We combine retrieval, the right model for each job and a user experience your teams will adopt, then measure quality continuously.
What custom AI changes for your business.
Plain-English value: the outcomes teams actually feel.
Accurate answers
Responses grounded in your own documents and data, with sources.
Faster work
Drafts, summaries and research in seconds instead of hours.
Data stays protected
Private deployments and access controls instead of public tools.
Improves over time
Monitoring and evaluation drive steady quality gains.
Four moving parts of a custom AI solution.
Knowledge & retrieval
Your documents and data indexed so the model can find the right passages.
Model
The right model for the job, prompted or fine-tuned for your domain.
Experience
A copilot, search or assistant inside the tools people already use.
Evaluation & monitoring
Test sets, feedback and dashboards that keep quality measurable.
AI shaped around your work.
Knowledge assistants
Ask questions of policies, manuals and product documentation and get sourced answers.
Copilots in your apps
AI assistance inside Salesforce, portals or internal tools, where work happens.
Document intelligence
Extract, classify and summarise contracts, invoices and forms.
Analytics assistants
Ask questions of your data in plain language and get charts and summaries.
Content generation
On-brand drafts for proposals, emails and product content, reviewed by people.
From idea to AI in production.
Discovery
Week 1Define the use case, users, data sources and how success is measured.
Data & retrieval
Weeks 2-3Prepare, clean and index the knowledge the solution relies on.
Build
Weeks 3-5Model, prompts and user experience, iterated with real users.
Evaluate
Weeks 5-6Accuracy, safety and cost tested against agreed targets.
Deploy & improve
LaunchProduction rollout with monitoring and a roadmap for improvements.
End-to-end custom AI delivery.
Custom AI use cases, by industry.
Policy & product assistant
Staff get sourced answers from product terms, policies and procedures.
Clinical document summaries
Summarise long documents for staff, with human review.
Support knowledge copilot
Agents find answers across docs, tickets and release notes.
Technical manual search
Engineers query manuals and specifications in plain language.
Production AI, not science projects.
AI plus enterprise data
AI engineers who also know Salesforce and enterprise systems.
Measured quality
Evaluation built in from the first sprint.
Responsible by default
Privacy, access control and human review designed in.
Production focus
Deployment, monitoring and support, not just prototypes.