VeloceAI

The reasoning infrastructure
for enterprise AI.

VeloceAI connects databases, documents, APIs and enterprise systems into a secure, governed reasoning layer for AI agents — with hybrid retrieval, citations, permissions and observability built in, so teams stop rebuilding this infrastructure for every use case. From raw enterprise data to reliable AI reasoning.

Live deployments across Energy & other sectors US · EU · India client footprint Research-backed — see SQLMind, open source Enterprise-grade delivery
SQL & databases Documents APIs Legacy systems VeloceAI reasoning layer traceable · governed · evaluated AI agents Apps & dashboards Workflows
In one line

VeloceAI is building the infrastructure layer that transforms fragmented enterprise data into trusted, production-ready context for AI agents.

The problem

Enterprise AI doesn't fail for lack of models.

It fails because business data is fragmented, poorly structured, and difficult for AI systems to access reliably. VeloceAI provides the infrastructure required to make enterprise data usable by AI.

What we provide

One reasoning layer. Seven capabilities.

Everything a production AI system needs to reliably understand and act on enterprise data — so teams stop rebuilding this stack for every project.

Connectors

Databases, documents, APIs and enterprise applications — one integration layer instead of one per source.

Schema & metadata understanding

Automated understanding of your data's structure and relationships — no manual mapping required.

Hybrid retrieval

SQL, vector, keyword and knowledge-based retrieval, combined — the right method per query, not one-size-fits-all.

Context routing

Orchestration that delivers the right context to the right AI agent at the right step.

Citations & governance

Every answer is traceable to its source, with permissions and access control enforced throughout.

Evaluation & observability

Monitoring built in from day one — know when accuracy drifts before your users do.

Secure & private deployment

Secure APIs and private deployment options — cloud, on-prem, or fully air-gapped.

Where we operate

Deployed with real enterprise clients — not just pilots.

Live systems running in production across regulated, high-stakes environments — energy and beyond, across three continents.

Energy & industrialProduction-grade data infrastructure for enterprise operations, plus other regulated sectors.
US · Netherlands · GermanyClient deployments across North America and Europe, alongside our home base in India.
Research, productizedWe publish the research we build on — see SQLMind, our open-source SQL reasoning engine →

Products

The reasoning layer at work — proof points, not just a pitch. Reprompt is our first product, live and in private beta; the rest are built on the same infrastructure underneath. See all products in detail →

★ Our first product

Reprompt

Private beta soon
Migrate your LLM pipeline to a cheaper model — and prove it still works, before you ship it.

Upload your pipeline's real execution traces; Reprompt's Prism optimizer evolves prompts for the target model until they reproduce your original outputs — validated by three-way scoring and an independent AI judge, never the model grading its own homework.

Trace-based migration Prism optimizer Three-way scoring Budget guardrails
Visit reprompt.in →

Tasevo

Waitlist open
Turns your team's everyday conversations — WhatsApp, email, meetings — into a live, organized project board, automatically.

Full project management today — boards, sprints, wikis, dashboards — with Arya, the AI layer that reads your team's real communication channels, drafts the tasks and reports, and asks a human before anything becomes real. Arya runs on VeloceAI's own reasoning infrastructure — turning unstructured conversation into governed, structured context.

Full PM suite Arya AI layer WhatsApp → tasks Hindi & Hinglish
Visit tasevo.com →

Universal Data Visualization

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

Ask a question, get a chart and an answer — across every database and system you run, in one place. Built on the same SQL intelligence that powers our open-source SQLMind: phase-locked generation and pre-execution validation, so the numbers a CFO sees are correct before they're shown.

Any SQL engine Natural language Built for executives
Get notified →

Universal Data Migrator

In planning
Move data between systems the way Reprompt moves prompts between models — with proof.

Schema-aware, validation-gated data migration between databases and platforms, designed on the same principle as everything we build: measurable, reversible, and never locked to one vendor.

Schema-aware Validation-gated Reversible
Get notified →

Open source

Tools we built for our own work, published under MIT on github.com/Veloce-AI.

sqlmind

SQL intelligence layer for LLM agents. A property graph schema engine, 7-phase execution-order protocol and 5-layer validation gate — across 10 SQL dialects, with an MCP server and integrations for Google ADK, OpenAI Agents SDK and LangGraph.

Arcflow

VAPT & security analysis platform with architecture intelligence. Scan for vulnerabilities, map dependencies, detect secrets and audit your codebase — entirely in the browser, offline, zero install. OWASP Top 10, SBOM and SARIF support.

CodeClean

Local code quality analyzer — 20 checks, zero install, zero cloud. Find dead code, security issues, memory leaks and complexity hotspots without a single byte leaving your machine.

Research & implementation

We don't just read papers on prompt optimization and hallucination detection — we implement the ideas, test them against real pipelines, and ship what actually holds up in production.

About

Every enterprise AI team ends up building the same infrastructure from scratch. We built it once.
Not a staffing shop.We ship products with our name on them, not just billable hours on yours.
Not a black box.Every claim we make about a migration or optimization is scored, shown and reproducible.
Not locked to one cloud.Cloud, on-prem or air-gapped — the same system runs anywhere your data has to stay.

VeloceAI is a founder-led AI engineering studio. We started by building bespoke AI systems for enterprise clients — and kept noticing the same problem everywhere: every serious AI pipeline is quietly welded to one model provider.

Everything we build attacks that problem. Our client work proves the patterns in production. Our products turn those patterns into software anyone can use. Our open-source tools give the ecosystem the missing infrastructure for free.

Our vision: to become the foundational data and reasoning layer powering enterprise AI applications worldwide. As every enterprise builds AI agents against data that's fragmented across databases, documents, APIs and legacy systems, someone has to be the trusted layer underneath all of them. We intend to be that layer.

We're small by design, senior by default, and we ship.

P1
Vendor-agnostic, alwaysEvery system we build can switch model providers without a rewrite.
P2
Evaluation before optimizationIf you can't measure it against a benchmark, you can't claim it improved.
P3
On-prem is a featureRegulated teams shouldn't have to choose between AI and compliance.
P4
Publish the internalsTools we rely on internally get open-sourced, not hoarded.

Frequently asked

The questions we get most from technical teams and investors.

How is this different from a RAG wrapper?
Most RAG tools stop at embeddings and vector search. VeloceAI reasons about your data's actual structure and execution order first — schema graphs, SQL dialects, document relationships — then combines SQL, vector, keyword and knowledge-based retrieval as the query demands, not a single fixed method.
Do you train or fine-tune custom models?
No — that's deliberate. VeloceAI is model-agnostic by design: the reasoning layer sits above whichever models you choose, so switching or mixing providers never means rebuilding your data infrastructure.
What deployment options are available?
Cloud, on-premises, or fully air-gapped. Regulated teams — the kind we build for in financial advisory and professional services — often can't send data off-site, so private deployment is a core capability, not an add-on.
What's open source and what's commercial?
Core infrastructure pieces — SQL intelligence, security scanning, code quality — are open source and free under MIT. The full reasoning layer, Reprompt and Tasevo are commercial products built on top of it.
Who is VeloceAI built for?
Enterprises and professional-services firms building production AI agents against real business data — where "the demo worked" isn't enough, and outputs need to be accurate, traceable and auditable.

Get in touch

Work with us

Enterprise AI engagements — orchestration, evaluation pipelines, on-premises AI applications. We take a limited number of clients at a time.

veloceai369@gmail.com

+91 72488 31398

Investors & partners

We're building Reprompt and Tasevo toward pilot customers. If you back early-stage AI infrastructure from India, we'd like to talk.

veloceai369@gmail.com

+91 72488 31398