Company brain
Veldovo connects people, agents, robots, and systems through one live company model, turning signals into governed decisions and coordinated action.
Move faster with control. Every action has evidence, rules, and approval.
Interactive product demo
Incoming signal
Exactly as received — missing context stays visible.
Veldovo does not guess when company truth is missing.
142 source-backed + 1 human-confirmed. Reasoning resumed.
Signals can begin with people, agents, software, or machines. Nothing runs without approval.
Why Veldovo
Data lives in different systems with no single source of truth.
Agents and teams act locally without seeing the full picture.
Issues are discovered late, when it is already costly.
Policies, approvals, and ownership vary across tools and teams.
Veldovo
Company Brain
Everything connects to a single, continuously updated model.
Options are evaluated against impact, rules, permissions, and approvals.
People, agents, robots, and systems execute together in the right order.
Outcomes become new signals that improve the next decision.
Platform
See what needs attention, what Veldovo recommends, what is approved, and what is running.
Signals show a deadline, capacity, or safety issue.
Veldovo ranks the next move by impact, cost, and risk.
Sensitive action waits for the right owner.
People, agents, robots, and systems follow one approved plan.
Capacity pressure, robot risk, and a customer deadline are resolved in one approved decision.
Compare OptionsProduct engine
Connect, model, simulate, govern, run, and update in real time.
Use cases
When customers, machines, budgets, and rules all matter, Veldovo keeps work moving.
Recover deadlines before they slip.
Let agents act with context, limits, and approval.
Keep machines, people, and safety coordinated.
Attach policy and audit history to every run.
Decision Contracts
Every action includes evidence, expected impact, approvals, and what systems can do.
Recover schedule with visible cost and approval impact.
Avoid maintenance risk while preserving delivery capacity.
The highest-confidence path with capacity, policy, and cost aligned.
Blocked before policy risk reaches execution.
How it works
Connect business apps, databases, APIs, agents, robots, and machines.
Veldovo maps them into one live model of your company.
Signals update the model. Veldovo compares options, predicts impact, checks rules, and prepares a contract.
Once approved, the decision becomes a run executed through people, agents, robots, and systems.
Live Model
Work, resources, cost, risk, commitments, rules, and history stay live.
Connections
Across people, agents, robots, and systems.
With rules, approvals, and full traceability.
Measurable impact and continuous improvement.
Developers
Use APIs, webhooks, and live model context to build operational AI that works inside company rules.
Read and update the live model from internal tools and products.
Build agents that estimate, plan, approve, and execute with company context.
Create focused workflows on top of Veldovo's operating brain.
Trigger actions from events, decisions, runs, and model changes.
Research / Technology
A Veldovo-native engine that continuously maps source-backed people, work, resources, rules, and commitments into one live company state.
A Veldovo-native simulation engine that tests possible actions across time, cost, capacity, risk, and constraints before the company commits.
Creates an auditable bridge between recommendation, approval, and execution with full traceability.
Language models help understand, explain, and communicate. They are not the source of company truth and cannot authorize execution. The World Model stops on missing facts, Business Physics simulates consequences, and governance approves what can run.
Explore our technologyContinual learningImproves with every run
Privacy by designYour data stays yours
Extensible by natureAPIs, events, and plugins
Enterprise readyScale, security, reliability
FAQ
It turns live company signals into approved, executable action.
Teams running critical work across people, agents, robots, systems, and rules.
No. LLMs and agents help interpret, propose, and execute. Veldovo uses its Company World Model and Business Physics Engine to establish company truth, simulate impact, govern decisions, and control what can run.
Missing or contradictory facts pause reasoning. Veldovo asks for the minimum required truth, labels future outcomes as projections, checks rules, and requires the right approval before execution.
Dashboards show what happened. Veldovo shows what to do next.
Agents act with context, evidence, approvals, limits, and audit history attached.
Book a Demo
Bring one scenario. We will show the signal, impact, approval path, run, and model update.