Reprompt Tasevo Data Visualization Data Migrator How we build
Our products

One reasoning layer. Every product built on top of it.

Every product below solves a different everyday problem — but underneath, each one runs on the same VeloceAI reasoning infrastructure: the same governance, the same evaluation discipline, the same "prove it, don't just claim it" standard.

Reprompt

Private beta soon

Our first product. Migrate to a cheaper AI model — and prove it still works, before you ship it.

Every few months, a cheaper or better AI model comes out. But switching feels risky: the prompt your team spent weeks tuning was written for the old model, and there's no easy way to know if the new one will behave the same way — until something breaks in production.

Reprompt removes the guesswork. Point it at how your pipeline is actually used in the real world, tell it which model you'd like to move to, and it finds a version that keeps delivering the same quality — backed by real evidence, not a vendor's benchmark chart.

Built on your real usageNot synthetic test cases — your pipeline's actual behavior.
Independent verificationQuality is judged by a separate check, never the model grading its own work.
Budget-awareMigrations respect the cost ceiling you set, not just the "best" answer.

Tasevo

Waitlist open

The project manager your team doesn't have — built from how your team already talks.

Most teams don't fail at project management because they lack a tool — they fail because nobody has time to keep the tool updated. Real work happens in WhatsApp threads, emails and meetings, while the project board quietly goes stale.

Tasevo closes that gap. It reads your team's everyday conversations and turns them into a live, organized project board automatically — tasks, sprints, dashboards, client reports, all kept current without anyone doing manual data entry. Arya, the AI layer behind it, drafts everything and always asks a human before anything becomes official — nothing happens silently.

Meets your team where it isWhatsApp, email and meetings become structured tasks, automatically.
Human approval, alwaysEvery AI suggestion needs a yes before it becomes real.
Speaks your team's languageHindi and Hinglish understood natively, not just English.

Universal Data Visualization

In planning

Executive dashboards that answer questions in plain language — built for the C-suite, not the analytics team.

Most dashboards are built for people who already know exactly what they're looking for. Executives don't have that luxury — they need an answer to a question, not a spreadsheet to interpret.

Universal Data Visualization lets anyone ask a plain-language question and get back a trustworthy chart and a straight answer — across every database and system a company runs, in one place. Correctness comes first: the numbers a CFO sees are checked before they're ever shown.

Works across every systemOne place to ask, regardless of where the data actually lives.
Plain language inNo query language or dashboard-builder skills required.
Built for decision-makersAnswers, not raw tables.

Universal Data Migrator

In planning

Move data between systems the way Reprompt moves prompts between models — with proof it worked.

Data migrations are one of the riskiest projects a company can run: expensive, slow, and prone to silent data loss that isn't discovered until much later.

Universal Data Migrator applies the same discipline Reprompt uses for model migrations to moving data itself — every migration is checked and verifiable, every step can be rolled back, and no company gets permanently locked into one vendor's system just because switching felt too risky.

Verifiable, not just fastEvery migration is checked against the source of truth.
ReversibleNothing is a one-way door.
Vendor-agnosticBuilt so you're never stuck because switching feels too risky.
How we build

Every product starts as a real problem, for a real client, first.

We don't start with a feature list. We start by building bespoke AI systems for enterprise clients, and we watch closely for the problem that shows up again and again — the one everyone is quietly rebuilding from scratch.

Once we've proven a pattern works in a real, high-stakes production system, we turn it into a product anyone can use. That's why Reprompt and Tasevo exist: both started as something we had to solve for a client, before they were something you could sign up for.

Tools we rely on internally but that don't need to be a product — like SQLMind, our SQL reasoning engine — we publish as open source instead of keeping them to ourselves.

1
Vendor-agnostic, alwaysNothing we build locks a client into one AI provider.
2
Evaluation before optimizationIf we can't measure it against a benchmark, we don't claim it improved.
3
On-prem is a first-class optionRegulated teams shouldn't have to choose between AI and compliance.
4
Publish what we canInternal tools that help the wider ecosystem get open-sourced, not hoarded.