Docyt
AI-powered accounting and bookkeeping automation platform. Its HpAI engine automates categorization, reconciliation, anomaly detection, and month-end close, with a strong focus on multi-location hospitality, restaurants, retail, and accounting firms.
Best for: Multi-property hotel groups, franchises, and accounting firms that want continuous, AI-automated bookkeeping and real-time financials across many locations rather than batch month-end work.
Last reviewed 6/2/26
- Pricing
- Plans start at $299/month per Docyt's own site; full pricing is custom (based on transaction volume, custom chart of accounts, and reporting needs) via a custom quote.
- Integrations
- QuickBooks Online, QuickBooks Desktop, NetSuite, Sage, Xero, Zoho, Intuit, Toast, Square, Clover, Flexepos, Oracle Opera, Oracle Hospitality, Marriott Fosse, Choice Advantage, Hotelkey, ONQ, SkyTouch Technology, Visual Matrix, Cake, Amazon, Shopify, WooCommerce, Stripe, Dwolla, Plaid, Gusto, Deputy, Scarlet Connect, AWS, Google
- Property types
- Hospitality / Hotels, Commercial Real Estate, Retail, Restaurants / QSR
- Geography served
- United States (primary); global bank/POS integrations
How Docyt uses AI[1][2][3]
Runs an accounting AI engine, HpAI, that pairs large language models with precision-trained accounting models.
- • Automates transaction categorization, document-to-transaction matching, and continuous bank and credit-card reconciliation
- • Flags anomalies and assists month-end close through an Accountant Copilot of embedded AI agents
- • Docyt says HpAI draws on 128 billion accounting data points across 20+ verticals and adapts to each client without retraining (vendor-reported, not audited)
AI type: Domain-specific AI engine (HpAI) combining LLMs with precision-trained ML models for accounting; embedded AI agents (Accountant Copilot)
API: unknown MCP: unknown
What it helps you do
Built for
Key numbers[1][7][8][9]
- • Docyt reports HpAI draws on 128B+ accounting data points
- • vendor-reported customer results include 95% fewer revenue-accounting errors, ~40 hours/month of data entry automated, and an average $2,000 cost reduction
- • Bluegrass Hotels cut expense-review time 50%
- • Dalwadi Hospitality caught up its books in 45 days across 7 hotels. Performance metrics are self-reported and unaudited.
Credibility[5][6][7][8][9][10]
- Founders
- Co-founded in 2016 by Sidharth Saxena (CEO; IIT Guwahati, Indiana University Bloomington, ex-Oracle and VMware) and Sugam Pandey (CTO; IIT Guwahati, ex-Oracle).
- Customers
- Multi-location hotel groups and accounting firms, including Bluegrass Hotels, Dalwadi Hospitality Management, Jain Hotels, Pavansut Hotels, Gose CPA, and Equibis Accounting; site states it powers 30+ franchise hotel brands.
- Investors
- Pivot Investment Partners (led pre-Series B), Lobby Capital (led Series A), First Rays Venture Partners, Morado Ventures, AME Cloud Ventures
- Reviews
- Listed among accounting software on G2 (Docyt-reported).
- Case Studies
- Published customer stories for Bluegrass Hotels (50% less expense-review time), Dalwadi Hospitality (books caught up in 45 days across 7 hotels), Gose CPA, and Equibis Accounting (10 hours/week saved).
Founded
2016
Headquarters
Santa Clara, California
Stage
Pre-Series B
Employees
201-500
Sources
- HpAI launch (Docyt, official)
- Docyt real-time accounting AI (CPA Practice Advisor)
- Docyt raises $12M, expands AI tools (FinTech Global)
- Docyt hotel pricing (Docyt, official)
- Docyt Series A $11.5M, cofounders named (BusinessWire)
- Founder bio: Sidharth Saxena (YesPress)
- AI accounting for hotels, customer metrics (Docyt, official)
- Bluegrass Hotels case study (Docyt, official)
- Dalwadi Hospitality case study (Docyt, official)
- Docyt company profile / investors (F6S)
Related companies
Scrypt AI
AI data-capture platform that automates accounts payable and receivable for property managers, reading invoices, checks, and remittances and coding them to the general ledger with no templates or manual entry. Spun out of MIT-affiliated machine-learning firm Composable Analytics.
Reads and codes invoices, checks, and remittances with no templates or manual data entry.
PredictAP
AI-powered invoice coding built specifically for real estate accounts payable. PredictAP learns from a client's historical invoices to auto-assign properties, cost centers, and GL codes, then pushes fully coded invoices into Yardi PayScan or Nexus workflows.
Codes accounts-payable invoices automatically with machine-learning models trained on each client's invoice history.
LeapAP
Accounts payable automation built specifically for property and community management companies. Uses machine learning to capture and code invoices, auto-retrieves utility bills from provider portals, routes approvals, and syncs payments back to the accounting system.
Machine learning extracts and classifies invoice data such as vendor, property, invoice number, date, amount, and taxes from emailed, dropped, or scanned invoices, then syncs it to the connected accounting system. LeapAP says these models improve as more invoices are processed.