Off-the-shelf AI does not fit
Generic tools do not know your data, your rules or your edge cases, so your team works around them.
Service 05 · Custom AI Development
AI built for your business, not generic use cases.
Full applications with AI at the center: internal copilots, document intelligence, decision tools, customer-facing assistants and AI features for your product. Design, frontend, backend, model layer, evaluation and deployment — one team.
Where it fits
Sound familiar?
The roadmap keeps deferring AI
Your product needs AI features, but your engineers are busy shipping everything else.
Prototypes without production quality
Something works in a notebook, but there is no evaluation, monitoring or plan for cost and scale.
What we build
What you get with Custom AI Development.
Each of these ships as a working system in your tools — not a slide, not a prototype.
Internal copilots
Assistants that sit inside your team’s daily tools and know your processes, data and terminology.
Document intelligence
Read, classify, extract and summarize contracts, files and records at volume, with human review.
Knowledge systems (RAG)
Search and answers over your documents with hybrid retrieval, reranking, citations and access control.
AI product features
Summaries, recommendations, smart search and assistants shipped into your SaaS product.
Dashboards and decision tools
Custom interfaces where your team reviews, approves and acts on what the AI produces.
Model operations
Model routing and fallback, prompt versioning, caching, cost controls and PII redaction.
Use cases
What it looks like in practice.
Examples from the kinds of businesses we work with. Yours will be specific to how your team works today.
- Lending
- An intelligence engine that turns application data into a structured, risk-flagged file for underwriters.
- Legal
- Medical-record summaries and case chronologies drafted for paralegal and attorney review.
- SaaS
- In-product assistants and smart search that make your existing features easier to use.
- Professional services
- Proposal and report drafting from past work, in your voice and format.
- Operations
- A single dashboard where AI-flagged exceptions get reviewed and resolved.
How it works
The system, at a glance.
What comes in, what the AI does with it, where your people stay in control and what goes out.
Comes in
- Your documents
- Your databases
- Your users
Custom AI application
- Model routing & fallback
- Retrieval with citations
- Evaluation suite
- Cost & latency controls
- PII redaction
Human in the loopReview screens where people approve AI output
Goes out
- Internal copilot
- Customer-facing feature
- Decision dashboard
- Role-based portals
How we deliver
From first call to production.
Weekly demos on your real data. You see it working long before it goes live.
- 1
Weeks 1–2
Discovery and architecture
Users, data, constraints and success metrics, turned into a written architecture and a fixed scope.
- 2
Week 2
Evaluation first
We build the test set before the feature, so quality is measured from day one — not judged by vibes.
- 3
Weeks 2–8
Iterative build
Two-week sprints with working software at every demo, deployed to your cloud or ours.
- 4
Ongoing
Launch and operate
Monitoring of quality, latency and cost, with improvements shipped as models and usage evolve.
Built with
- Next.js
- TypeScript
- Python
- Supabase
- Postgres + pgvector
- Pinecone
- MongoDB
- OpenAI
- Anthropic Claude
- AWS
- Vercel
Proof
Built, shipped, measured.
Mortgage · Reverse mortgagesPowerbanc Lending · AI operating system · Custom AI
How Powerbanc Lending built a custom AI loan operating system in 30 days
80 → 99%pipeline reliability
30 daysto a production MVP
Marketing agency · SEOWin Big Marketing · Agentic AI · Mission control
Win Big Marketing replaced monthly SEO reports with a real-time AI command center
Real timeSERP visibility, not monthly crawls
1 clickfrom gap to fix
“Awais is an exceptional engineer who excels at building complex, automated systems from the ground up. He has a rare ability to take sophisticated business logic and turn it into a high-performance, scalable infrastructure. His work on our proprietary ‘Intelligence Engine’ has been instrumental in creating a seamless, data-driven workflow that bridges the gap between client experience and backend efficiency. If you are looking for someone to build a system of intelligence, not just a standard app — Awais is the right choice.”
Rouvaun WalkerFounder & CEO, Powerbanc Lending
Questions
Custom AI Development, answered.
Something else? awais@trillesai.com or +1 (213) 592-5948
Ask us on a callCan you build on top of our existing product?
Yes. We regularly ship AI features into existing codebases, working alongside your engineers or independently with clear interfaces and documentation.
Which models do you use?
Whichever fits the job and the budget, with routing and fallback between them: frontier models where reasoning matters, smaller ones for classification and extraction, and self-hosted open-weight models when data residency requires it.
How do you measure quality?
With an evaluation set built from real examples before we build the feature, scored automatically on every change. You see the numbers, not just a demo.
Our data is sensitive. How do you handle it?
We sign an NDA and DPA before data moves, use zero-retention model endpoints where available, redact PII in the pipeline, scope credentials to least privilege and can deploy inside your own cloud.
Do we own the code?
Yes. Code, prompts, datasets, infrastructure and documentation are yours, in your repositories and accounts.
Related services
Let’s scope your custom AI development project.
A 30-minute call with the engineers who would build it. We map the system live, tell you what it would cost and whether it is worth building.
Talk to a founderSalman AhmedCo-Founder & CTO · maps your business and designs the right AI system