About
An AI engineering and consulting partner
PhiGrad AI exists for one reason: most AI projects stall between a working demo and a system a business can depend on. We close that gap: architecture, evaluation, security, optimization and deployment.
We are a small senior team. The people who scope your project are the people who write the code, run the evaluations and sit in the security review.
We are deliberately not a generic software shop, a chatbot agency or an AI training provider. Our work is engineering: agents, document intelligence, model adaptation, inference performance and AI security.
Name
Why PhiGrad?
Phi is the symbol mathematics uses for a function: something that turns an input into an outcome. It is the honest description of what we build. Not magic, not a personality. It takes what your business gives it and returns something useful, the same way twice.
Grad is the gradient: the signal a model follows when it learns. A gradient only exists where there is a measured error, and it only helps if you keep taking steps. That is how we run engagements too: measure the gap, take the smallest useful step, measure again.
A function to build on, a gradient to improve along. AI that works on day one and is measurably better by quarter two.
Founder
Led by an engineer, not an account manager
Engagements are led hands-on by our founder, who works directly with your CTO or engineering lead through architecture, build and production readiness. Background spans applied machine learning, LLM and small-model engineering, high-throughput inference and AI security.
Focus
Agents & document intelligence
Depth
LLM/SLM adaptation & inference performance
Standard
Evaluated, secured, cost-measured
Detailed background, references and prior engagement summaries are shared on request.
Fit
Where we are the right call, and where we are not
A short engagement is expensive for both sides if the fit is wrong, so we would rather say this up front.
Bring us in when
- A demo works but nobody will sign off on putting it in front of customers.
- Answers are right often enough to be tempting and wrong often enough to hurt.
- Inference cost or latency is deciding the product roadmap for you.
- Security, audit or a large customer is asking questions you cannot yet answer.
- You need a straight technical read before committing budget.
We are the wrong partner for
- Staffing a team by the seat with no defined outcome.
- General web or mobile build-outs with AI added as a label.
- Classroom-style AI training programmes.
- Work where accuracy cannot be measured and nobody wants it measured.