Contextual provides SolutionAI, a fully managed low‑code platform that lets enterprise teams design, build, and operate custom AI applications without extensive engineering effort. The platform offers AI‑assisted design, drag‑and‑drop workflow creation, auto‑generated secure APIs, and built‑in connectors to major AI services and enterprise systems, enabling production‑ready AI solutions to be deployed in weeks and continuously monitored for cost and performance.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often face lengthy, costly development cycles when building custom AI applications due to fragmented tooling, complex infrastructure setup, and the need to integrate multiple data sources and AI models. These challenges delay time‑to‑value and require specialized engineering resources that many organizations lack.
Solution
Contextual offers the SolutionAI platform, a fully managed, low‑code environment for designing, building, and operating purpose‑built AI solutions. Users collaborate with an AI‑assisted assistant to define solution goals, data strategy, and required integrations, then create JSON‑schema data models and visual flow logic using drag‑and‑drop components. The platform automatically generates secure APIs, handles versioning, audit trails, and provides built‑in connections to major AI services and enterprise systems. Deployment runs on scalable cloud infrastructure with near‑zero configuration, enabling production‑ready AI workflows to be delivered in weeks rather than months. Ongoing operation includes transparent cost tracking, monitoring, and the ability to iterate or scale the solution as business needs evolve.
Target Audience
Target customers are enterprise product teams, data engineering groups, and business units that need custom AI‑driven automation, analytics, or decision‑support solutions but lack the resources to build and maintain the underlying infrastructure.
Features
- AI‑assisted conversational design tool for solution briefs, data strategy, and integration mapping
- JSON‑schema based data model with validation, versioning, audit trail, and auto‑generated APIs
- Visual low‑code flow editor with drag‑and‑drop nodes, support for custom JavaScript, npm packages, and event‑driven triggers
- Pre‑built connectors for enterprise systems and major AI models, plus easy configuration of third‑party APIs
- Managed cloud compute (AWS services) delivering automatic scaling, deployment pipelines, and monitoring
- Role‑based access control, RBAC, and integrated security features such as Cognito authentication
- Built‑in logging, debugging, and performance analytics with CloudWatch and X‑Ray integration
- Transparent cost and ROI dashboards for ongoing operation and optimization