LLM Development
We design custom applications on top of large language models — internal copilots, semantic search, document automation — choosing the right model, context strategy, and guardrails for your accuracy and cost requirements.
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LLM Apps Shipped
6-12 wks
Typical Engagement
0%
Avg. Cost Reduction via Optimization
0+
Model Providers Supported
What's Included
Production LLM application or API
Evaluation harness with accuracy benchmarks
Cost and latency optimization report
How We Work
01
Use Case Definition
We scope exactly what the LLM application needs to do and what 'accurate enough' looks like.
02
Model & Architecture Selection
We choose the right model size, provider, and context strategy for cost and latency targets.
03
Build & Evaluate
The application is built with an evaluation harness testing accuracy against real examples.
04
Launch & Cost-Tune
We launch and continuously tune prompts and caching to control ongoing inference cost.
What You'll Receive
- Production LLM application or API
- Evaluation harness with accuracy benchmarks
- Cost and latency optimization report
- Prompt and context management system
- Technical documentation and handover
How Engagements Typically Work
Every project starts with scoping — here's the shape most engagements for this service take.
Prototype
A 2-3 week prototype to validate the LLM can handle the target use case with acceptable accuracy.
Production Build
Full application development with evaluation and cost optimization — typically 6-12 weeks.
Ongoing Optimization
Monthly retainer to tune prompts, manage model upgrades, and control inference cost.
Technologies We Use
The tools and platforms our LLM Development team works in day to day.
LLM Stack
Infra
Frequently Asked Questions
It depends on accuracy, cost, and data residency needs — we benchmark candidates against your actual use case rather than defaulting to one vendor.
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