Add AI to the product you already have.
We add LLM features to existing applications — summarisation, extraction, drafting, search and classification — grounded in your data, cost-controlled, and evaluated so you can prove it works.
- Added to your existing app, not a separate product
- Grounded on your own data with retrieval
- Streaming responses so it feels fast
- Token budgets and caching to control cost
- Prompt versioning so changes are reviewable
- Evaluation set so quality is measurable
What we build.
Everything OpenAI & LLM Integration includes — designed, built and shipped for you.
The AI feature lives inside your existing application and data model, rather than becoming a second system your users have to visit.
Token streaming so responses feel immediate.
Caching, model routing and per-feature token budgets.
An evaluation set from your real cases, scored before and after every prompt change — so improvements are demonstrated rather than asserted.
Kept in code and reviewed, not pasted into a dashboard.
Fallbacks and refusals rather than confident nonsense.
How we work.
Discover
We learn your process and define a clear, fixed scope.
Architect
A solution design, data model and timeline you approve.
Build
Iterative delivery with demos at every milestone.
Scale
Launch, monitor, and evolve the product with you.
OpenAI & LLM Integration by the numbers.
We add LLM features to existing applications — summarisation, extraction, drafting, search and classification — grounded in your data, cost-controlled, and evaluated so you can prove it works.
Scale Us vs the alternatives.
An honest look at building OpenAI & LLM Integration with us versus the usual options.
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Scale Us
recommended |
Freelancers
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Big agencies
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|---|---|---|---|
| Fixed scope & quote | |||
| You own the code & IP | |||
| Senior, in-house team | |||
| Products + services in one | |||
| Support after launch | |||
| Transparent pricing |
More under Custom Software.
Questions answered.
Still unsure? Email contact@scaleus.in — a real human replies inside 4 hours.
How much will the AI cost to run?
We model it per feature before building, then control it with caching, model routing and token budgets. Most features cost far less than expected once simple steps stop being sent to a frontier model.
Which model should we use?
Usually several — a cheap model for classification and routing, a stronger one only where quality genuinely requires it. Being model-agnostic keeps you free as prices change.
Can we hire a developer full-time instead of a fixed-price project?
Yes. Dedicated engineers are available monthly, full-time or part-time, with a named developer and direct communication rather than an account manager relay. Most clients start with one fixed-scope build and move to a monthly team once they have seen the work.
How quickly can you start?
Onboarding takes under a day and a first working draft usually lands within two to three days. We keep overlap with US, UK and Australian business hours so you are not waiting a full day for each reply.
How much does this cost?
Most single-scope builds land between $2,500 and $4,000 as a fixed price. Multi-location or heavily integrated work runs $10,000 to $25,000, and a full platform build is $25,000 to $50,000. Once live, managed support is $900 to $1,500 a month. We quote fixed scope so you are not exposed to an open-ended hourly meter.
Who actually does the work?
Our own engineers, not a subcontracted chain. The team has delivered production apps as a Tier 1 delivery partner to a $1.3B-valuation UK app platform serving US and UK SMBs, plus our own products running in 60+ countries. You get named engineers and a direct line to them.
Let’s build
something great.
Tell us what you need — a real human replies within 4 hours. We work with teams worldwide.
