Zaro is a unified platform that links a company’s scattered data—files, call recordings, CRM records, Slack threads, and specifications—into a shared memory layer where AI agents can operate directly.
Funding
$5.1M raised to dateRaised 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.
ATCSMSMPTDTWFounders
Product
Problem
Organizations often store information in disparate sources such as files, call recordings, CRM records, Slack threads, and specifications, making it difficult to build cohesive internal automation or intelligence without extensive data stitching. Existing platforms typically keep this data under vendor control, limiting ownership and increasing operational complexity.
Solution
Zaro provides a single platform that connects all of a company’s existing data sources into a shared memory layer, allowing AI agents to run directly on that context and generate custom applications without altering existing workflows. The system abstracts the underlying models behind a credit‑based compute model, so users pay for work performed rather than for specific model licenses. All integrations, unlimited members, and full feature access are available across plans, eliminating per‑seat fees. Security controls—including SSO, SAML, audit logs, and optional bring‑your‑own‑key inference—ensure that data remains owned and governed by the organization. Users can set spend alerts, auto‑top‑up credits, and monitor usage analytics to maintain predictable costs. The platform enables continuous, self‑running software that turns company context into actionable intelligence.
Target Audience
Primary customers are product teams, developers, and operations groups in mid‑size to enterprise organizations that need to automate workflows and build internal AI‑driven applications using their existing data.
Features
- Unified connectors for files, call recordings, CRM records, Slack threads, and specifications, ingesting data without changing team processes
- AI agents that operate on the shared memory layer to automate tasks, answer queries, and generate code or workflows
- No‑code app builder that creates custom applications from connected data and agent outputs
- Credit‑based compute model that meters every agent run, app generation, and integration call, allowing flexible scaling
- Unlimited team members and workspaces (up to plan limits) with a single shared credit pool and no per‑seat charges
- Enterprise‑grade security: SSO/SAML authentication, audit logs, optional BYOK model inference, and SLA support
- Top‑up credit packs with rollover for up to 12 months and volume‑based pricing discounts
- Built‑in usage analytics, spend alerts, and auto‑top‑up to prevent unexpected interruptions