Public research
We read what your organisation already publishes. Exact quotes, with URLs. Inference is labelled as a hypothesis.
Infralyte Technologies · Raipur studio / worldwide
We research how a business actually operates, name one bounded workflow worth changing, and prove it in a two-to-four week pilot. We use AI to build AI, so work that used to take a quarter can ship in weeks. No transformation theatre. No bulk email.
Sales is customized. The platform underneath is reusable. We pick the offer that matches the evidence, not the one that sounds largest.
01
Citation-backed search, extraction, and working notes over the files a practice already lives in.
Read the offer →02
A copilot or workflow assistant inside a product you already ship — not a widget bolted on the side.
Read the offer →03
One measurable back-office workflow: email, spreadsheet, ticket, or intake, with a human in the loop.
Read the offer →04
One operational dataset, one decision: forecast, anomaly, inventory, production, or reporting.
Read the offer →05
Frontier models when they fit. Private models when data cannot leave.
Read the offer →06
The model is already in production and it is expensive, slow, or untrustworthy.
Read the offer →We would rather tell you to skip than sell a twelve-month transformation with no first workflow.
We read what your organisation already publishes. Exact quotes, with URLs. Inference is labelled as a hypothesis.
A one-page recommendation: build, buy, or skip. One workflow. One offer.
Used only when public evidence is not enough and deeper access is required.
Fixed scope. A qualified human stays in the loop. Success is a measured workflow, not a slide.
Rollout, private deployment where needed, and managed support after the pilot holds.
The same method holds for a two-partner CA firm and a product company with an existing platform. The vertical changes. The discipline does not.
What is true
Infralyte Technologies is a services firm of about ten engineers. We have delivered software and data work across 20+ engagements. We do not claim twenty AI transformations, and we do not name confidential customers. Private work can run on our NVIDIA DGX and Apple Silicon lab when data cannot leave.
Tell us the organisation and the workflow that hurts. We will tell you whether to build, buy, or skip.