Coming soon — Data Migration Agent: agentic data migration, done in weeks, not months See how it works
Agents for every team, real-time data underneath them, and an ERP built for both. Start with one agent on the systems you run today and add the rest when you’re ready.
Each agent takes one kind of repetitive work off a team and runs it inside the tools you already have. They share one Context Graph, so the second agent knows what the first one learned.
Three-way match, post, reconcile and chase — in the ERP you have. Exceptions land in one queue with the reasoning attached.
Request a demo →RFQs arrive by email, PDF or voice note. Items matched to the catalogue, priced to the customer’s terms, quote drafted — the rep reviews.
Request a demo →Stock gaps flagged from live data, RFQs sent to approved vendors, quotes compared, PO raised inside your delegation of authority.
Request a demo →Order status, delivery dates, spec questions and returns — answered on email and messaging from your ERP, with anything unusual routed to a person.
Request a demo →Stock cover, supplier lead times and late deliveries, watched from live data. Follow-ups drafted, and anything unusual routed to a person.
Request a demo →For data, IT and CIO teams: move it in real time, migrate it off legacy systems, ground it in your definitions and ask it questions.
Agentic data migration, done in weeks, not months. It assesses, converts and rehearses on real data until every control passes.
Learn more →Real-time, one-way replication from your databases to your warehouse, within a second.
Learn more →Your definitions, rules and team’s corrections in one place, read by every agent.
Learn more →Ask a business question in plain language. Get the investigation and the lineage, not a chart.
Learn more →Why did gross margin drop last month?
Down 3.1 pts, almost all in one product line: a supplier price rise and a volume discount that never reached the price list.
A living model of your business — your systems, your definitions, your rules and your team’s corrections — kept in one place every product reads from.
An AI-native system of record, with the Finance Agent working inside it from day one. You don’t have to wait for it, or replace anything to start.
The agent reads each invoice, matches it against the purchase order and goods receipt, and posts it. Anything outside your tolerances waits for a person, with the reasoning attached.
Request a demo →Ask in plain language. The Data Analyst Agent works through your sales, product and supplier data and shows the rows behind every answer.
Learn more →The agent converts schema and code, then rehearses on real data until every control passes. The one difference it can’t settle comes to you with sample keys.
Learn more →Databases, warehouses, ERPs, CRMs and the inboxes in between — read and write, with dry-run on every write.
Postgres
Oracle
SQL Server
MySQL
MongoDB
BigQuery
Databricks
Snowflake
Redshift
Microsoft Dynamics 365
Oracle NetSuite
Salesforce
HubSpot
Microsoft 365
Slack
Apache KafkaWe spent years at large companies matching the same invoices, pricing the same quotes, chasing the same approvals and answering the same questions — in every job. The work was always the same shape, and it was never the job anyone had trained for.
Agents can now do that shape of work inside the systems a business already runs, and hand back the decisions that need a person. Blunox exists to make that dependable enough for an enterprise to run on.
— The Blunox founding team
Built by teams previously at GoogleOracleBNYLloyds
No. Every product runs on the systems you already have. The AI-native ERP on our roadmap is for teams who want to, not a condition of anything else.
Nothing is written until a plan is approved, and anything below the confidence threshold you set waits in the exception queue. Corrections are fed back into the Context Graph so the next run comes out right.
Nowhere. Pushdown execution runs the work inside your warehouse or cloud, in the region you choose. Self-hosted runners are available for anything that can’t leave your network.
Most teams have a first agent running on real work within 4–6 weeks: 2–3 weeks to map the department, then one workflow at a time. Data Sync connects in days.
The Data Migration Agent is built to take a migration that would run 3–6 months with a system integrator to 4–8 weeks, with a Blunox forward-deployed engineer alongside your team from assessment to go-live.
Every deployment differs in systems, volumes and where it runs. Tell us the scope and you get a written quote within 24 hours.
Tell us where the hours go — invoices, quotes, POs or the inbox. We’ll show the agent working on your kind of case and what the first six weeks look like.
