LATO
LATO provides a secure, AI-powered investment research platform that automates commercial diligence workflows for investors. The platform runs AI agents server-side to conduct expert interviews, market sizing, competitive mapping, pricing studies, and deal sourcing, with integrations into tools like Outlook, Gmail, Slack, and Excel. LATO emphasizes enterprise-grade security with tenant isolation, encrypted credentials, and a no-training-on-customer-data policy.
- AI Agents
- Data & Analytics
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Investment professionals spend excessive time and money conducting commercial research—including due diligence, market sizing, and competitive analysis—to evaluate deals and support portfolio companies. This manual research process is slow, expensive, and often requires coordinating multiple tools and expert interviews, delaying investment decisions.
Solution
LATO provides a secure investment research platform that automates commercial diligence workflows for investors. The platform uses AI agents that run server-side on managed infrastructure to conduct expert interviews, market sizing, competitive mapping, pricing studies, and deal sourcing. It integrates with common tools like Outlook, Gmail, Slack, SharePoint, Excel, and Affinity, allowing investors to trigger research directly from their existing workflows. LATO combines investing and computer science expertise to deliver research insights faster than traditional manual approaches.
Target Audience
Primary customers are investors—including private equity, growth equity, and venture capital professionals—who need to conduct commercial due diligence, market research, and portfolio value creation analysis. The platform also serves deal sourcing and inbound screening workflows for investment teams.
Features
- AI agents for commercial due diligence, expert interviews, market sizing, competitive mapping, pricing studies, and deal sourcing
- Integrations with Outlook, Gmail, SharePoint, Google Drive, Slack, Affinity, Harmonic, Granola, Teams, Attio, and Excel
- Isolated Daytona sandbox per agent with outbound network restricted to an explicit host allowlist
- Tenant isolation at three layers: database row-level security, application-level organization scoping, and dedicated sandbox per agent
- Credentials never reach the model—integration tokens are encrypted in Supabase Vault and sandboxes access external APIs only through a proxy with short-lived scoped tokens
- No training on customer data by design and by contract with AI providers
- Encryption in transit (TLS 1.2+) and at rest (AES-256), with EU data residency for primary storage
- SSO-first access via Google, Microsoft, or custom SAML/OIDC identity provider, with MFA enforced and organization-level RBAC
- AI-specific hardening: untrusted email and Slack content is sanitized and boundary-marked so agents treat it as data, not instructions