99%+ bank reconciliation accuracy on real-world messy books.
Built by finance veterans for mid-market controllership teams.
Paladin Agentics is building the first autonomous, fully explainable AI agent suite purpose-built for the controllership workflows of mid-market companies ($10M–$100M revenue). We start narrow — bank reconciliation — to deliver an immediate, defensible accuracy moat before expanding into full month-end close and multi-agent orchestration.
Led by a Finance Director (CEO/CFO-equivalent) with deep controllership, ERP modernization, audit, and tax experience across manufacturers and $150mm+ pension funds. This is not a generalist AI team — it is a finance team that builds AI.
The reconciliation agent matches transactions across bank feeds and ERPs (QuickBooks, Xero, NetSuite), learns client-specific rules via RAG, flags exceptions intelligently, incorporates human-in-the-loop escalation, and produces audit-ready trails on messy real-world books.
$5mm seed provides 22–24 months runway. Total capital to breakeven ~$9.7mm. Series A targeted at ~$1mm ARR (18–22x multiple). Conservative early traction assumptions with clear sensitivity resilience.
Sweet spot: companies with $20M–$75M annual revenue and 150–400 employees. Primary verticals: SaaS/tech, e-commerce, professional services, and retail/consumer goods. Secondary market: boutique and mid-sized accounting firms serving SMB clients.
Revenue scales from $150k ARR (30 clients) in Year 1 to $25mm ARR (2,000 clients) in Year 5. Blended ARPA grows from ~$5k to $12.5k as the multi-agent suite expands. EBITDA positive in Year 5.
Strong domain moat. Capital-efficient execution. Clear path to attractive VC returns in the high-growth vertical AI accounting market.