AI & Smart Systems
LLM Application Development
From model API to dependable product.
The distance between calling a model API and running an LLM product is deceptively large: prompt versioning, structured outputs, tool orchestration, cost control, latency budgets, and graceful degradation all have to be engineered.
We've shipped LLM features into products serving millions of requests — summarization, extraction, copilots, content generation — and bring the patterns that keep them fast, cheap, and on-brand.
Whether you're adding AI to an existing product or building AI-native from scratch, we own the full path to production.
What's included
LLM Application Development services we offer
LLM Feature Development
Copilots, summarizers, extractors, and generators embedded in your product.
Prompt & Output Engineering
Versioned prompt systems, structured outputs, and schema-validated responses.
Model Routing & Cost Control
Right model per task, caching, batching, and per-feature cost dashboards.
Fine-Tuning & Distillation
Smaller, faster, cheaper models trained on your traffic when evals justify it.
How we work
A process built for certainty
- 1
Discovery
We map goals, users, constraints, and success metrics into a scoped roadmap with fixed milestones.
- 2
Design
UX flows and UI systems are prototyped, tested against real content, and signed off before build.
- 3
Build
Senior engineers ship in weekly sprints with code review, CI, and a demo environment you can click.
- 4
QA & Launch
Automated and manual QA, performance and accessibility audits, then a monitored, reversible launch.
- 5
Support
Post-launch SLAs, iteration sprints, and roadmap reviews keep the product improving.
Stack & models
Technologies and ways to engage
Fixed-scope project
Defined deliverables, milestone billing, and a warranty period.
- Signed scope & timeline
- Weekly demo cadence
- Best for bounded builds
Dedicated team
A stable pod on monthly capacity, steered by your priorities.
- Scales quarterly
- Roadmap-driven
- Best for products
Hourly / retainer
Flexible senior hours for audits, fixes, and advisory.
- 40-hour minimum
- Rolls over 1 month
- Best for ongoing needs
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Projects delivered
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Years in business
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Client retention
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5-star reviews
Proof
LLM Application Development in production
FAQ
LLM Application Development — common questions
Which model providers do you work with?
Anthropic, OpenAI, Google, and open-weight models via your cloud. We're provider-neutral and route per task based on evals, latency, and cost.
How do you keep costs predictable?
Per-feature budgets, prompt caching, response caching, model routing, and dashboards that show cost per user action — before launch, not after the bill.
Can you retrofit AI into our existing codebase?
Yes — most engagements integrate into existing products. We work in your stack and your repos with your review process.
How fast can we ship a first feature?
A production-quality first feature typically lands in 4–6 weeks including evals and rollout controls.
Related services
Where teams go next
AI Development
End-to-end AI product engineering — from model selection to production-grade shipping.
RAG Development
Retrieval-augmented generation over your documents, data, and knowledge — with measured accuracy.
AI Agents & Workflow Automation
Agentic systems that execute multi-step business workflows with guardrails and audit trails.
Ready to start with llm application development?
Tell us where you're headed — a senior specialist replies within one business day.