Build · Software & AI · Service 04 / 07
AI, Computer Vision & LLM Integration
Add practical intelligence (detection, classification, LLM assistants) to products and workflows.
Practical AI inside real products: object and face detection, classification models, and LLM features such as assistants, summarisation and smart search, optimised to run fast on the hardware you actually have, including CPUs and edge devices.
Working together on this
- Where
- Built remotely from India for clients in the US, the UK, Canada, Australia, the UAE and India. Calls run in one of three windows, shown on your own clock when you book.
- What it costs
- From $25 an hour (about £20 or ₹2,000), and usually quoted as a fixed scope built from that rate, with milestones and dates agreed in writing before any work starts. Bank and currency-conversion charges are the client's.
- How it starts
- Send the problem, a rough timeline and a budget range. You get a reply within 24 hours, then a discovery call and a scoped quote.
Working with clients in the US, UK and worldwide covers the time zones, ownership of the code, contracts and payment routes in full.
01What's included
What you get.
Everything below is part of the engagement, scoped to what your business actually needs.
- 01Object & face detection pipelines
- 02Audio / data classification models
- 03LLM features inside business software
- 04Model optimisation for CPU / edge devices
02How an engagement works
From first call to running software.
A simple, predictable path. You see working software early, and you own everything at the end.
- Step 01
Step 01
Discovery call
We walk through how the work happens today, where it breaks and what a good result looks like.
- Step 02
Step 02
Scope & plan
Workflow, data model and the smallest useful first version, agreed in writing with clear milestones.
- Step 03
Step 03
Design & build
Built in short iterations with regular demos, so you see working software early and steer it.
- Step 04
Step 04
Launch & handover
Deployed to your own hosting and repository. The code, data and accounts are yours.
- Step 05
Step 05
Support
Monitoring, fixes and new features after launch, as an ongoing maintenance engagement.
03Proof
Real projects, not mock-ups.
Case studies with the problem, the build and the measured result.
04Questions
Common questions.
Straight answers about AI & Computer Vision. Anything else, ask me directly.
Can you add ChatGPT-style features to my software?
Yes. LLM features such as assistants, summaries, drafting and search can be added to existing products, connected to your own data with the right access controls.
Do AI models need expensive GPUs?
Not always. Models can be optimised (smaller architectures, quantisation, efficient pipelines) to run in real time on ordinary CPUs and edge devices.