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Coform AI

Coform AI provides a no-code agentic workflow platform that lets operations teams build autonomous AI agents for complex, multi-step processes like claims processing and regulatory reporting. The platform features a visual drag-and-drop builder, 40+ pre-built templates, and LLM-agnostic architecture supporting OpenAI, Anthropic, and open-source models. It includes built-in governance, human-in-the-loop controls, and self-learning capabilities that improve agent performance from feedback over time.

Traction 10/10
Istanbul, Türkiye · HQ
Founded 2025102K+ followers
  • AI Agents
  • Artificial Intelligence
  • Enterprise Software
  • Software Only
  • Regulatory & Compliance Technology
Updated 14 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Manual operational workflows across industries—such as claims processing, loan underwriting, and regulatory reporting—are time-consuming, error-prone, and require significant engineering resources to automate. Teams often spend months building custom automation infrastructure, while point solutions lack the flexibility to handle complex, multi-step processes that involve multiple systems, data types, and approval chains.

Solution

Coform AI provides a no-code agentic workflow platform that enables businesses to configure autonomous AI agents capable of orchestrating complex operations across their systems. The platform features a visual drag-and-drop builder, 40+ pre-built templates, and supports multimodal inputs including text, images, documents, and audio. Coform AI is LLM-agnostic, allowing deployment with any model provider, and offers flexible deployment options including on-premise, cloud, or hybrid setups. The platform includes built-in governance, audit trails, and human-in-the-loop controls, while its self-learning capabilities improve agent performance from feedback over time. Use cases span claims processing, fraud detection, regulatory reporting, customer support, inventory planning, and predictive maintenance, with documented outcomes such as reducing claim settlement time to a 3-minute average and cutting false positive triage by 95%.

Target Audience

Primary customers are operations, compliance, and IT teams in financial services, insurance, healthcare, hospitality, manufacturing, and telecommunications that need to automate complex, multi-step workflows involving data extraction, decision-making, and cross-system coordination.

Features

  • No-code visual workflow builder with drag-and-drop components for rapid agent orchestration
  • 40+ industry-specific templates covering claims, onboarding, fraud detection, loan processing, and more
  • LLM-agnostic architecture supporting OpenAI, Anthropic, Mistral, and open-source models with one-click switching
  • Multimodal processing of text, images, documents, and audio within workflows
  • Built-in human-in-the-loop (HITL) controls for exception handling and approval gates
  • Comprehensive audit trails and governance guardrails for compliance and regulatory reporting
  • Self-learning agents that improve from feedback and historical performance data
  • Cost transparency with per-run pricing estimates and usage tracking
  • On-premise, cloud (AWS, Azure, GCP), and hybrid deployment options for data sovereignty
  • API-first design with tool use, memory, and multi-agent coordination capabilities
  • Support for multi-agent orchestration, including inter-agent API calls and memory sharing
  • Real-time workflow canvas that generates components dynamically and estimates monthly costs
This profile is AI-generated and may contain inaccuracies.