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03
Finance
More signals than any human can absorb.
Manta acts on all of them.
Manta draws registries, accounts, market signals, CRM, bank, board and payroll into a single graph, then runs the workflow from market signal to investment decision and portfolio oversight, every recommendation traceable to the firm’s own rules.
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The problem
Investment firms have outrun human capacity. Every portfolio company throws off hundreds of signals a month. A firm holding 25 of them faces 2,500+ decisions on a single partner's desk, every month, with one human expected to act. Hiring is linear; the signal volume is not. The gap widens with every company added.
Manta’s answer
Manta is the reasoning layer beneath the investment firm, an AI-native operating system that draws company registries, accounts, market signals, CRM, bank, board and payroll data into one knowledge graph, then runs the workflow from market signal to investment decision and portfolio oversight, every recommendation traceable to the firm’s own encoded rules.
Measured
2,500+
Monthly decisions consolidated
<15%
Workflow software penetration today
Operational friction
Direct investing has moved to scale: 70% of family offices now invest directly, and private markets funds frequently manage 20+ portfolio companies. Each company generates hundreds of monthly signals across accounts, bank feeds, board materials, contracts, CRM and payroll. The partner is expected to catch material events, originate deals, run diligence and oversee the portfolio, all manually, across systems that do not talk to each other. Software penetration in this workflow is under 15%. The result: signals missed, decisions delayed, and a model of ownership that only gets harder as the portfolio grows. Hiring is linear, so adding people never closes the gap.
How Manta solves it
Autonomous execution
Three modules: Investment OS (dealflow, diligence, IC material, decision log), Portfolio OS (continuous monitoring with material events flagged), Governance OS (audit trail, rules engine).
Reasoning engine
Deterministic formal logic. Cross-source pattern matching against the firm’s own rules, every recommendation traces back to the rule and the data. Built for the investment committee.
Owned knowledge graph
Companies, people, ownership, relationships and signals stored once, the firm’s rules matching continuously. The customer owns its instance from day one.
Cost architecture
Inference paid once, then plateaus, so monitoring more companies does not scale cost the way headcount does.
Sovereign deployment
Designed for GDPR and Norwegian law, source code in escrow at Nordic Trustee with a documented continuity plan. Built for regulated capital.
Works with your stack
See what Manta could do in finance.
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