senti · by Rayson Technologies

Ask your data. Trust the answer.

senti plugs into the data lake you already have and answers plain-English questions with validated, consistent, auditable results. Same question, same answer, every time.

There is a way out

The condition

Every tool you were sold asked you to take its word for it. Stopping was the reasonable response.

The grind

census_export_FINAL_v4.xlsx

pulled by hand · one person · emailed monthly

Board week

Census says one thing. Billing says another.

the person who built it is out this week

The queue

“Which locations are below target this quarter?”

asked 3 weeks ago · still open

Every one of these is the same wound: an answer no one could verify.

You don't need to believe in magic. You need to see the work.

senti answers plain-English questions from your live warehouse, and the evidence arrives with the answer. Four steps, in this order:

It reads what's really there.

Live schema, real tables, current joins. It never guesses a column name.

It writes SQL you can read.

Your definitions take precedence. The query is part of the deliverable.

It checks itself before it shows you.

Diagnostics run on every draft; it corrects until the answer holds, or says plainly that it doesn't.

It files the evidence.

Question, reasoning, SQL, result, logged. The answer keeps its receipt.

Built for the people who need answers, with or without a data team.

This is what an answer looks like in daylight.

Moments after the question, with every step it took standing beside it. Ask it again tomorrow and get the same answer.

read-only by design · your data stays in your environment · access governed to industry best practices for data security · every query logged

Trace 0293Grounded · 14 sources

Which locations are below target this quarter?

●Schema read · 14 sources0.8s

●SQL drafted · 4 joins resolved3.1s

●Validated · 1 self-correction6.4s

●Executed · read-only1.9s

Below target in 7 of 43 locations; the three largest gaps account for 61% of the shortfall.

View SQLView lineageAudit 4471

Start here

What's your level of trust in your data lake?

Your answer decides whether the next step is building a lake, diagnosing a source, or getting answers out of the one you already have.

Door A · Rayson builds it, senti installed on top

We build the lake, right-sized to your sources, and senti goes on top so the whole team gets answers the day it goes live.

Start with the assessment

Door A · Rayson fixes it, senti installed on top

We find why it broke before we touch it, fix the sources, and senti sits on top of the result.

Start with the assessment

Door B · diagnose the source, then senti

We diagnose the source first. senti shows you what is missing rather than fabricating around it, then answers on what holds.

Book a demo

Door B · senti plugs in

senti connects to the lake you have and answers in plain English, validated against your live schema, the same answer every time.

Try the playground

Bring the question that's been waiting.

One call, under an NDA, about where your answers come from today. If we are not the right fit, you will hear that on the call rather than a pitch.

read-only by design · your data stays in your environment · no credentials change hands on a first call

Or kick the tires first

senti
Book a demo

Ask your data. Trust the answer.

Every tool you were sold asked you to take its word for it. Stopping was the reasonable response.

You don't need to believe in magic. You need to see the work.

It reads what's really there.

It writes SQL you can read.

It checks itself before it shows you.

It files the evidence.

This is what an answer looks like in daylight.

Answered while the meeting is still happening.

Why direct LLM access to enterprise data is risky.

What's your level of trust in your data lake?

PE portfolio companies.

Home care & healthcare.

Credit unions & financial services.

Bring the question that's been waiting.