SolveAI offers a conversational development platform that converts natural‑language problem descriptions into production‑ready, language‑agnostic source code aligned with an organization’s architecture, compliance mandates, and security policies. The generated code includes CI/CD scripts, data connectors, and audit metadata, enabling enterprise IT teams to rapidly build and deploy custom internal tools while meeting governance requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often face lengthy, manual software development cycles when trying to address internal operational challenges, leading to delayed insights, high compliance overhead, and difficulty aligning new tools with existing security and architectural standards.
Solution
SolveAI provides a conversational development platform that ingests a natural‑language problem description and automatically extracts the organization’s system architecture, data lineage, compliance mandates, and security policies. An AI‑driven code synthesis engine then generates production‑ready, non‑proprietary source code that conforms to the captured enterprise context. The generated artifacts can be directly fed into existing CI/CD pipelines, enabling rapid transition from prototype to deployed service. Built‑in policy enforcement ensures that generated code meets regulatory and internal governance requirements without additional manual review. The platform also offers connectors to on‑premise and cloud data sources, allowing the resulting applications to operate on live enterprise datasets immediately. By abstracting the engineering effort into a guided conversation, SolveAI reduces development time, lowers risk, and standardizes custom software across the organization.
Target Audience
The primary customers are enterprise IT and engineering teams that need to build custom internal tools—such as inventory monitoring, workflow automation, or analytics dashboards—while adhering to strict compliance and security frameworks.
Features
- Conversational UI that captures problem statements and automatically maps them to enterprise architecture, compliance, and security models
- Context engine that enforces policy constraints (e.g., GDPR, SOC 2, internal code standards) during code generation
- Language‑agnostic code synthesis producing clean, non‑proprietary source code ready for version control integration
- Pre‑built data connectors and adapters for ERP, CRM, data warehouses, and cloud services to enable immediate data access
- Seamless export to CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) with generated pipeline scripts and Dockerfiles
- Full audit trail and provenance metadata for each generated artifact to support governance and traceability