Unframe provides AI‑driven, agentic automation that configures and runs end‑to‑end multi‑step workflows across any SaaS, API, database, file or legacy system. Using no‑code blueprints, it extracts, classifies and routes unstructured data, delivers contextual reasoning based on enterprise policies, and offers audit‑ready traceability with human‑in‑the‑loop controls for compliance‑sensitive tasks.
Funding
$30M 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.
5OFounders
Product
Problem
Enterprises struggle with fragmented, unstructured data and manual, rule‑based processes that require extensive scripting or RPA. These approaches cannot handle complex, judgment‑heavy workflows, leading to backlogs, high error rates, compliance risks, and delayed decision‑making.
Solution
Unframe delivers AI‑driven, agentic automation that automates end‑to‑end multi‑step workflows across any combination of SaaS, APIs, databases, files, and legacy systems. By configuring modular building blocks on the customer’s own data and infrastructure, Unframe creates production‑ready agents that plan, act, and verify without custom model training. The platform provides contextual reasoning grounded in the organization’s policies, full audit trails with confidence scoring, and human‑in‑the‑loop controls for high‑risk decisions. This enables rapid deployment of trusted automation, data extraction, observability, and knowledge‑on‑demand solutions in days rather than months.
Target Audience
Primary customers are large enterprises and mid‑market organizations that need to automate complex, compliance‑sensitive workflows, extract intelligence from unstructured documents, and provide enterprise‑wide searchable knowledge to business users.
Features
- Agentic AI workflow automation that autonomously plans and executes multi‑system tasks, handling variability without brittle scripts
- Contextual reasoning using enterprise policies, business rules, and data to ensure decisions are grounded in organizational logic
- End‑to‑end traceability with confidence scores, audit logs, and governance layers for compliance and regulator defensibility
- Modular building‑block platform supporting document extraction, semantic search, anomaly detection, and natural‑language querying
- Unlimited integrations across any SaaS, API, database, file system, or on‑prem environment; selectable LLMs and deployment options (on‑prem, private cloud, SaaS)
- No‑code configuration via blueprints that connect data sources, define rules, and launch production‑ready agents within days
- Human‑in‑the‑loop escalation triggered only on uncertainty, reducing manual intervention while maintaining control