Agent Builder
Teach an agent the way you'd teach a new hire, then deploy it everywhere your team works.
Build your employee in seconds
Feed the engine your documents, databases, live voice, videos, or just a few examples. The Adaptive Reasoning Engine models the brain in seconds, then exposes the same employee across Slack, WhatsApp, email, your website, and an API.
TEACH
ADAPTIVE REASONING ENGINE
Patent pending
YOUR EMPLOYEE
● Live in seconds
DEPLOY
Documents
Drop in PDFs, contracts, decks, or recordings. The agent ingests the content, the structure, and the figures.
Databases
Point the agent at your ERP, CRM, HRIS, or warehouse. It reasons against live records, not snapshots.
Live voice + TTS
Walk through the workflow live, the way you would with a new hire. Docana turns it into a reasoning model. The agent talks back via TTS for hands-free workflows.
Video
Record your expert reviewing a real document or contract. Docana captures the decision logic frame by frame.
Examples
Drop in a few good and bad cases. The Adaptive Reasoning Engine learns the pattern and the boundary.
No prompt engineering. No ML team. No code. Your subject matter expert teaches the agent the way they would teach a new hire, and the deterministic core handles the rest.
Compose your team
Docana started as a tiny team with too many jobs for too few people, so we built agents to do the work and called them super employees. Now you can hire the same six inside your enterprise: finance, sales, support, legal, ops, and a Business Analyst on top. Each one is bounded to the data you decide and validated by deterministic LLM evals before it acts.
Business Analyst
For the leadership team. Reads SAP, ERP, HRIS, CRM, and VMS as one and answers "why are our costs up?" with the actual cause, not a dashboard.
Finance Analyst
Lives in Excel. Reconciles the ledger, flags variance the analyst chain would smooth over, and trails back to the source record.
Revenue Strategist
Lives in Slack and the CRM. Tells the sales director what closing a deal will do to cash flow before it lands.
Legal Reviewer
Reviews contracts in minutes. Drafts clauses in your style. Flags obligations buried in attachments before they cost you.
Operations Sentinel
Monitors transactions in real time. Catches vendor leakage, signature mismatches, and anomalies before they hit the P&L.
Customer Support
Answers customers on your website, WhatsApp, Slack, or SMS. 24/7, multilingual, grounded in the same knowledge your best human reps use.
Every conversation becomes a data point
Define the KPIs your business actually cares about. Every conversation runs through deterministic LLM evaluations that extract sentiment, intent, resolution status, escalation needs, and any custom field you define. The result is a live dashboard your team actually reads, and an agent that learns from every interaction.
Total executions
12,847
+18%Success rate
99.1%
+0.4%Avg duration
17.8s
−2.1sError rate
0.9%
−0.3%Customer sentiment
Extracted on 12,847 of 12,847 conversations
User intent
Top reasons users reached out
Insight extracted · today
User asked about beach-property investments in coastal states served by Moura Dubeux, specifically about projects in Praia dos Carneiros. The assistant listed line options.
Define your KPIs
Sentiment, intent, resolution, escalation, urgency, custom fields. Whatever your business measures, the agent learns to extract it.
Auto-extract via LLM evals
Every conversation runs through deterministic LLM evaluations that pull structured data points back, scored and ready to query.
Dashboards your team reads
Distributions, trends, drill-downs, and per-conversation traces. Filter by any KPI to find exactly what your customers asked yesterday.
Agents that learn over time
Insights from past conversations carry forward. The next time a customer reaches out, the agent already knows what happened last time.
Insights flow back into the agent's memory. The next conversation knows what happened in the last one, across users, channels, and time.
Your AI workforce. Live this week.
In a 30-minute demo we'll wire Docana™ into a sample of your data and show you what the Enterprise Reasoning Layer surfaces in the first hour: leakages, anomalies, missing controls, and the work your first agent can absorb on day one.
Scale output, not headcount.