One stack across forensic, pharma, and financial audits: digitize physical records, search across every document, flag anomalies automatically, and generate the report — eleven paying clients already running it in production.
The entry point for every audit — OCR extraction that turns paper, scans, and PDFs into structured, queryable data.
Automatically extract, classify, and post data from invoices, purchase orders, and financial documents — eliminating manual data entry and reducing processing time from hours to seconds.
The same digitize-search-detect-report stack, purpose-configured for how each audit type actually works.
Compliance search, eTMF agents, and automated APQR generation for CDMOs and generics manufacturers. Eleven paying clients across India and the US. 21 CFR Part 11 compliant.
See pharma solutions →OCR invoice extraction, TDS automation, payroll conversion, P&L risk flagging, VAT/CT compliance workflows, and IFRS audit reporting. Built for CA firms and accounting consultancies across India and the UAE.
UAE VAT and Corporate Tax registration workflows, FTA compliance calendars, and IFRS audit reporting suites. Built for regulated businesses that need structured, auditable outputs.
Anomaly detection across financial records, contracts, and communications for forensic investigations — the newest audit context we're building for, based on active conversations with audit firms.
We start with two completely free steps so you know exactly what you're getting before committing a dollar.
We run a hands-on session with your team to identify high-value AI use cases in your organization. No sales pitch. Just strategic insights.
100% FreeWe deliver a strategic deck with prioritized recommendations, ROI estimates, and implementation timelines. Yours to keep, no strings attached.
100% FreeIf you choose to proceed, we build the solution ourselves, or connect you with specialized partners for niche use cases. You're in control.
Your DecisionBook your free workshop today. No commitment. No cost. Just clarity on what AI can do for your business.
Two engagements across pharma and accounting — same stack, same approach: on-premise AI that digitizes records, flags anomalies, and generates audit-ready output.
ASPR & Co were processing hundreds of invoices and financial documents every month entirely by hand. Staff spent the bulk of their day on data entry into Tally and Zoho Books — extracting figures from PDFs, scanned challans, and emailed purchase orders before they could do any actual accounting work.
Worse, risk was invisible until it was too late: anomalous P&L entries surfaced only when an auditor found them, not before — leaving the firm reactive instead of ahead of the problem.
"The volume of documents we were processing by hand every month was unsustainable. Livo built something that handles all of it automatically, and our team now spends their time on actual advisory work instead of data entry."
Encube Ethicals had accumulated over a decade of proprietary R&D data: formulation studies, stability reports, excipient compatibility data, clinical batch records, and regulatory submissions. This knowledge lived across shared drives, spreadsheets, and disconnected document management systems.
When formulation scientists began new drug development projects, they had no reliable way to query what the organization already knew. Teams were unknowingly duplicating studies, starting formulations from scratch when relevant historical data existed, and losing weeks to knowledge retrieval that should have taken minutes.
"We had years of formulation and compliance data that was effectively invisible to our teams. Livo built something that made all of it searchable in a way our scientists actually use every day."
"We had years of formulation and compliance data that was effectively invisible to our teams. Livo built something that made all of it searchable in a way our scientists actually use every day."
"The eTMF review work that used to take our team days to prepare now gets surfaced in a fraction of the time. Livo's agents understand what matters in a regulatory context."
"The volume of documents we were processing by hand every month was unsustainable. Livo built something that handles all of it automatically, and our team now spends their time on actual advisory work instead of data entry."
Every project starts with understanding your specific workflow. We scope, build, and deploy from there — no templates, no guessing.
On-premise semantic search over a decade of proprietary R&D data — formulation records, stability studies, batch records, and regulatory filings — making institutional knowledge instantly queryable.
Full-stack platform for a Dubai accounting consultancy: OCR document processing, UAE payroll with SIF generation, VAT and Corporate Tax registration workflows, IFRS audit reporting, management dashboards, CRM, and client portal.
AI automation for a Bangalore CA firm: TDS challan extraction from the Income Tax portal, invoice OCR, payroll data conversion, P&L entry risk categorization, and Zoho Books integration for sales and purchase registers.
Automated WhatsApp and email payment reminder system with a report generation bot, reducing manual follow-up and giving the team structured visibility into outstanding payments.
Mobile English learning application for one of India's largest education NGOs, with structured content delivery, progress tracking, and assessment functionality.
Why pay six figures for discovery when you can get it free?
Start with zero risk. Get professional insights and a custom roadmap before spending a dollar.
Not another API wrapper. Real systems built for scale, security, and accuracy.
Your data stays in your infrastructure. Full control over deployment environment and data residency.
Data processing and storage of Indian citizens on India servers. Full compliance with Digital Personal Data Protection regulations.
We build systems that meet GDPR requirements. Data privacy and protection by design.
Specific answers to the questions audit firms, compliance teams, and enterprise leaders ask when evaluating AI for audit.
Most audit AI pilots go live in 4–6 weeks — covering ingestion of source documents (SOPs, batch records, financial filings, contracts), a semantic search layer your teams can query in natural language, and initial anomaly-flagging rules. Full enterprise rollouts with role-based access and system integration typically take 2–3 months.
The highest-ROI applications are: (1) digitizing and indexing physical records so nothing is missed; (2) semantic search across the full document set so auditors find precedent in seconds; (3) automated anomaly detection that surfaces audit-relevant findings before manual review; and (4) structured report generation. Firms using AI for the search-and-detect stages report significant drops in manual review time and missed findings.
The underlying detection stack is the same — pattern and outlier detection across structured and unstructured records — but what counts as an anomaly changes by context: unusual transaction patterns and contract terms in forensic audits, missing or inconsistent batch and eTMF records in pharma audits, and risk-flagged P&L entries in financial audits. We configure detection rules per audit type rather than building separate systems.
Part 11 compliance requires electronic signatures, complete audit trails, and access controls built into the system from day one — not bolted on after. Every data entry, edit, and signature event must be logged with a time-stamped, attributable record. We build these controls into the core of every system we deploy.
Yes — and for most audit firms and their clients this is non-negotiable. We deploy all AI systems within your own infrastructure. No client records, financial documents, or regulatory filings are ever sent to external servers or third-party APIs. Sensitive client data stays siloed by design.
For a typical audit corpus — financial filings, batch records, contracts, and regulatory submissions accumulated over a decade — ingestion and indexing takes days to a few weeks depending on volume and format. Once deployed, queries and anomaly scans across the full corpus return results in seconds.
A pilot scopes one use case — for example, anomaly detection across a single audit engagement's financial records — and can go live in 4–6 weeks. A full enterprise deployment covers your entire document corpus, integrates with existing case management, DMS, and ERP systems, implements role-based access, and takes 3–5 months. Most firms start with a pilot to validate ROI before scaling.
Practical guides on deploying AI in pharma and regulated industries, written by the team that builds these systems.
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Co-Founder
Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
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