Kinnow
Kinnow is an AI-native Enterprise Reasoning Platform for India that combines ERP applications with 284 autonomous agents handling routine work across finance, sales, purchasing, payroll, and compliance. The platform answers plain-English questions in seconds, drafts actions for human approval, and uses proprietary small models called Instinct for fast, low-cost judgments. It charges no licence or per-user fees, instead pricing by business size and agent work credits.
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional ERP systems were built for an era when planning was the hardest problem, so they function as passive storage repositories for company data. Critical knowledge remains trapped in disconnected silos across financial records, documents, emails, and spreadsheets, forcing teams to spend days on tasks that require cross-referencing multiple sources. This fragmentation means insights are delayed, risks are missed until they escalate, and institutional knowledge is lost when employees leave.
Solution
Kinnow provides an ERP platform with a unified reasoning engine that reads and connects both structured numbers and unstructured text across the entire business. The system deploys autonomous agents for every functional domain—insight, procurement, sales, tax, stock, reconciliation, order desk, winback, payroll, maintenance, contracts, and routing—that continuously monitor data and complete multi-step work that previously required entire teams. Each agent presents its findings, recommendations, and drafted actions to the appropriate functional owner for approval, replacing a reactive, manual workflow with proactive, intelligent automation. The platform learns and sharpens from every decision made, compounding its usefulness as organizational knowledge accumulates in one accessible, reasoning brain. Kinnow's proprietary small models, called Instinct, make routine judgments in fractions of a second, while the Veil privacy layer masks sensitive bank, tax, and ID numbers before any AI call.
Target Audience
Kinnow targets mid-to-large enterprises across India with complex operations spanning finance, sales, purchasing, HR, operations, and compliance, including heads of finance, sales, purchasing, HR, operations, and compliance who need integrated decision support. Its primary users are functional leaders such as financial controllers, heads of purchase, sales, marketing, accounting, and quality leads across industries with substantial transactional volume.
Features
- Deploys 284 specialized agents covering finance, purchasing, inventory, transport, accounting, tax compliance, payroll, contracts, CRM, marketing, and service, including forecasting, vendor scoring, quality checks, and risk flagging
- Unified reasoning layer that reads numbers and words together from books, records, documents, emails, and scattered data stores to create a single organizational intelligence
- Proactive agents that complete tasks before employees arrive, such as reconciling bank statements, ranking overnight sales enquiries, and checking supplier price lists against historical payments
- Approval workflow where agents advise and the right functional owner decides, including drafted emails and escalation notices for human sign-off
- Veil privacy layer that holds back bank, tax, and ID numbers and swaps names for placeholders before AI calls, with every call recorded
- Proprietary Instinct small models that make judgments in a fraction of a second at a fraction of the cost of large AI models
- Automated compliance functions including GST return preparation, e-Way bill preparation, TDS, and matching purchase invoices against GST portals
- Real-time language support for customer interactions, including native-language order tracking read-back for callers
- Maker-checker controls with enforced segregation of duties across journal entries, payroll runs, supplier payments, and period closes
- Infrastructure for building custom agents by describing them in plain language, following the same permissions and approvals as team members