Infrastack AI provides a model‑agnostic AI‑agent platform that automates workflows across more than 30 enterprise SaaS tools such as Salesforce, Snowflake, and Jira. The platform abstracts LLM providers, runs in SOC 2 Type II‑certified isolated containers, and includes a continuous learning pipeline that refines agent behavior without code changes. It offers low‑code workflow design, multi‑cloud deployment, and real‑time bi‑directional data exchange for operations, support, and IT teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises rely on a growing stack of SaaS applications (CRM, ticketing, data warehouses, cloud services) that are manually orchestrated, leading to delayed task execution, high labor costs, and error‑prone processes. Scaling automation across these heterogeneous tools is difficult because most AI solutions are tied to a single model provider or require extensive custom integration.
Solution
Infrastack AI delivers a model‑agnostic AI‑agent platform that can be provisioned in days and operate continuously across a wide catalog of enterprise tools. Agents are built on a unified runtime that abstracts underlying LLM providers, enabling seamless switching between models without code changes. Pre‑engineered connectors embed directly into platforms such as Salesforce, Snowflake, Jira, Slack, and major cloud services, allowing agents to trigger actions, query data, and update records autonomously. A self‑improving feedback loop captures interaction outcomes, fine‑tunes agent behavior, and reduces manual oversight over time. All execution occurs in isolated, SOC 2 Type II‑certified environments, ensuring data privacy and compliance while delivering measurable ROI from the first deployment.
Target Audience
Primary customers are operations, support, and IT leaders at mid‑size to large enterprises that need to automate cross‑platform business processes while maintaining strict security and compliance standards.
Features
- Model‑agnostic orchestration layer that supports leading LLM providers (OpenAI, Anthropic, Cohere, etc.) with plug‑and‑play swapping
- Over 30 native integrations (Salesforce, Snowflake, Jira, HubSpot, Zendesk, AWS, GCP, PostgreSQL, MongoDB, etc.) with bi‑directional API bindings for real‑time data exchange
- Continuous learning pipeline that logs agent actions, evaluates outcomes, and automatically updates prompts or policies to improve performance
- SOC 2 Type II‑compliant isolated execution containers with role‑based access control and end‑to‑end encryption for all data in transit and at rest
- 24/7 autonomous scheduling engine that monitors SLA deadlines, escalates tickets, and executes batch workflows without human intervention
- Low‑code workflow designer and REST/GraphQL SDK for rapid agent configuration and custom business logic injection
- Centralized observability dashboard featuring execution logs, latency metrics, and anomaly alerts for operational monitoring
- Multi‑cloud deployment support (AWS, GCP, Azure) with auto‑scaling compute resources to match workload demand