Accounting automation is getting an upgrade—one that knows debits from credits cold.
Docyt, the AI-driven accounting automation firm, has introduced High Precision Accounting Intelligence (HpAI), a purpose-built AI engine designed to handle the kinds of tedious, rules-heavy financial workflows most AI tools fear to tread. With the announcement coming fresh off a $12 million pre-Series B funding round, Docyt is gunning to scale its technology across accounting firms and multi-entity businesses alike.

And unlike generic LLM-based tools that play catch-up with finance, HpAI was built specifically for accounting from the ground up—trained on years of industry data, fine-tuned with precision, and fully embedded in Docyt’s platform.

“This isn’t just AI slapped onto finance,” said CEO Sid Saxena. “We’ve spent five years building synthetic, high-quality datasets labeled by real accountants. Now we’re delivering automation that’s context-aware, accurate, and built for scale.”

Beyond Generic AI: Why HpAI Stands Out

What sets Docyt HpAI apart is its laser focus on full-cycle bookkeeping—from reconciliation and categorization to anomaly detection and month-end close. The AI doesn’t just suggest—it acts, powering what Docyt calls its Accountant Copilot, an embedded AI assistant that replicates the reasoning of seasoned bookkeepers and offloads tasks usually assigned to junior staff.

That means:

• Instant categorization of transactions
• Real-time bank reconciliation
• Near-instant month-end close
• Context-sensitive anomaly alerts
• Built-in audit trails and confidence scoring

According to clients, the impact is staggering. “Docyt saves us 15 hours a week and gives us the cleanest financials we’ve ever seen,” said Christa Wells, Managing Partner at J M Keehn Accountancy.

A New Standard for Accuracy

Docyt’s AI is trained on a massive dataset—128 billion accounting data points spanning over 20 industries. And it doesn’t require re-training on customer data. Instead, it adapts in real time, retaining contextual memory to make hyper-accurate, client-specific decisions.

Unlike LLMs fine-tuned on broad internet data or generic financial docs, HpAI was forged in the fires of real-world ERP charts, vendor records, expense and revenue flows, and nuanced bookkeeping processes. It knows what a miscategorized vendor line item looks like—and how to fix it before your auditor ever finds it.

“It’s like having a senior bookkeeper in the loop—but at machine scale,” said Saxena.

Built to Tackle Vertical Complexity—Starting with Hospitality

While many automation tools break down in multi-entity, industry-specific environments, Docyt is pushing ahead with verticalized AI agents, starting with hospitality accounting—a notoriously gnarly space. HpAI handles multi-property operations, enforces AI confidence thresholds, and maintains full transparency with human-in-the-loop verification.

And there’s more to come: Docyt plans to expand vertical support soon, bringing the same rigor to other complex industries like healthcare, retail, and real estate.

Results That Speak for Themselves

Docyt customers using HpAI have reported:

• 90%+ reduction in review time per client
• 3x increase in client capacity without additional hires
• Automated categorization, reconciliation, and month-end close workflows
• Audit-ready financials with built-in confidence scoring

For firms facing the triple threat of rising client demand, staffing shortages, and pressure for real-time reporting, Docyt offers something rare in the world of AI promises: actual results.

Redefining Modern Accounting—One Close at a Time

As most accounting platforms lean on AI as an afterthought, Docyt is betting big on AI as the core architecture of the modern firm. With HpAI acting as the brain and Copilot as the interface, firms can scale bookkeeping, improve accuracy, and shift human focus toward advisory services that drive real growth.

In a world where accountants are in short supply and expectations are high, Docyt’s HpAI might just be the partner firms didn’t know they needed.

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