Dovanix
We build AI operating systems for operations-heavy industries: building operations, SMB operations, EPR, compliance, documents, vendors, and supervised execution.
Operating systems for operational work.
A shared platform beneath multiple products.
Current product lines
AI operating system for SMBs. Start with channel inbox, sales agent, Quote/RFQ, procurement, service booking, commerce ops, or owner intelligence.
AI operating layer for residential and commercial building operations. Starting with supervised coordination across compliance, maintenance, documents, vendors, approvals, and field execution.
Product infrastructure for evidence records, filing workflows, compliance monitoring, audit readiness, and operational controls.
AI operating system for Extended Producer Responsibility compliance.
New product surfaces for document-heavy, compliance-heavy, and operations-heavy teams where supervised AI can coordinate work.
Dovanix Command is being built for owners and operators managing residential and commercial portfolios through fragmented vendors, work orders, compliance calendars, documents, inboxes, and field teams.
Starting with one building at a real estate company, with a planned expansion to five buildings within three months if pilot targets are met.
Near-term workflows coordinate compliance, maintenance, document intelligence, vendor follow-up, approvals, field packets, and owner reporting.
Dovanix Command does not claim fully autonomous buildings or unsupervised physical control today. It builds the supervised foundation first.
Study the teams, documents, inboxes, approvals, vendors, compliance steps, and operational decisions behind a workflow.
Create reusable intelligence, workflow, compliance, document, vendor, approval, and agent primitives.
Launch products with expert supervision, auditability, operational ownership, and clear human approval paths.
Reuse infrastructure, evaluation systems, agent patterns, and domain learnings across Atlas, Command, and future products.
Platform Layer
Dovanix systems share infrastructure for intelligence, agents, workflows, compliance, knowledge, documents, decision support, and auditability.
Founded by Bhavkaran Singh
Bhavkaran Singh is an AI researcher, engineer, and founder who has spent nearly a decade building machine learning, deep learning, and intelligent decision systems across public safety, retail, financial services, compliance, and enterprise software.
Today he leads Dovanix, focused on building AI-native operating systems for operational businesses.
Carnegie Mellon AI researcher whose work was deployed by the City of Pittsburgh and published at ACM KDD.
Fire-risk prediction, recommendation engines, deep learning forecasting, reinforcement learning, credit risk platforms, document intelligence, compliance automation, and enterprise AI infrastructure.
Dovanix builds product lines that help operational teams understand work, coordinate people and vendors, manage documents and compliance, and move execution forward under human supervision.
Dovanix is an AI product company building AI-native operating systems for operations-heavy industries. Product lines include Atlas, Command, EPR infrastructure, and compliance/document intelligence systems.
A unified platform where supervised agents, workflow software, decision systems, compliance controls, and human operators work together to run an industry-specific process.
Atlas is live for SMB operating workflows. Command is being piloted for residential and commercial building operations. EPR and compliance infrastructure support regulated operational workflows.
It gives Dovanix products shared agent infrastructure, workflow engines, knowledge systems, compliance logic, document intelligence, decision support, and audit trails.