Service / 02 Build
Custom AI SaaS & Multimodal Apps
AI-native products and internal applications that work with text, documents, images and audio.
/ 01The business problem
Why this matters
Building an AI product is different from adding a chat box. Output is probabilistic, costs scale with use, latency matters and user trust is fragile. Products need interaction patterns that make AI output easy to review and correct.
We design and engineer AI-native applications end to end, from product discovery to a secure, observable production service.
Who it is for
- Founders and product leaders building AI-native software
- Enterprises building internal AI tools
- Software companies adding AI features to existing products
/ 02Scope
What the engagement covers
- 01Product discovery and UX for AI interactions
- 02Model selection across text, vision and audio
- 03Application and API engineering
- 04Evaluation, safety and abuse prevention
- 05Usage metering and cost management
- 06Cloud deployment and CI/CD
/ 03Technical approach
How we work on it
Design for review
Interfaces show sources, confidence and editable drafts so users stay in control.
Engineer the economics
Caching, model routing and batching keep unit costs predictable as usage grows.
Ship in slices
Usable increments go to real users early, with evaluation results attached to each release.
/ 04Process
From first call to production
- 1
Consultation
A focused conversation about the problem, constraints and what success would mean.
- 2
Discovery
Evidence gathering: data samples, process walkthroughs and a measured baseline.
- 3
Proposal
Scope, approach, team, timeline, risks and a fixed or estimated price.
- 4
Delivery
Iterative sprints with demos and evaluation results at each milestone.
- 5
Handover or run
Documentation, runbooks and training, or ongoing operation by our team.
/ 05Deliverables
What you receive
- Product and UX specification
- Production application and APIs
- Evaluation and safety test suites
- Cost and usage dashboards
- Infrastructure as code and CI/CD
- Documentation and handover
Engagement options
Delivery team
A cross-functional squad for a build or integration, planned in milestones with demos and evaluation results at each one.
Ongoing partnership
A monthly capacity agreement for continuous improvement, operations and support with agreed response times.
/ 06FAQ
Common questions
Do you own the IP you build for us?
Commercial terms are agreed per engagement. Our standard position is that bespoke deliverables belong to the client once paid for, excluding pre-existing tools we license.
Can you work with our in-house team?
Yes. Mixed teams with your engineers are common and help with long-term ownership.
Related solutions
Related product concepts
Talk to an engineer about custom ai saas & multimodal apps
Bring the problem and any constraints. You will leave the conversation with an honest view of the options, even if the answer is not us.