Supercorp
Supercorp describes itself as accelerating open-source AI. It builds AI-native products and open-source infrastructure for AI agents, including embedded AI interfaces, hosted MCP servers, and agent-oriented developer tooling.
At a Glance
- Software and SaaS companies embedding AI into products
- Developers and teams building AI agents and MCP integrations
- Engineering teams and coding-agent users
- Software factories and organizations running automated development loops
AI Tools by Supercorp
(1)
Supercov
CLI Tool for Agent Test Coverage
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Latest News
Supercov 0.0.47 released with Python and Ruby assertion coverage alongside JavaScript, TypeScript and Rust
Supercov 0.0.46 released with expanded assertion evidence, diagnostics and paginated assertion details
Superinterface released scheduled-task delivery safeguards and duplicate/stale-run protections
Superinterface released annotated container file-image support
Products & Services
Open-source AI UI/infrastructure for embedding assistants in products and websites, with MCP servers, interactive components, function calling, voice chats, and any AI provider.
One-click remote hosted MCP servers, with managed deployment, public server templates, per-user MCP routers, logs, and support for HTTP Streamable, SSE and stdio transports.
Local, free, MIT-licensed coverage tooling for coding agents and software factories; it runs an existing test command, records coverage evidence, exposes uncovered paths, and helps an agent choose the next useful test.
Open-source project described by Supercorp as AI compatibility without compromises.
Market Position
Supercorp positions itself as an open-source, developer-first AI infrastructure company spanning the assistant UI, MCP hosting and coding-agent quality loop. Superinterface competes with proprietary embedded-assistant and agent-UI platforms by emphasizing self-hosting, open source and provider choice; Supermachine competes with managed MCP hosting and gateway offerings; Supercov differentiates from conventional coverage reporters by turning uncovered paths and assertion evidence into actionable tasks for coding agents.
Leadership
Founders
Domas Bitvinskas
Co-founder of Supercorp and its product companies; his personal site lists earlier open-source work on Amendable (2018–2022), and his public profile identifies him as an AI-agent and AI-infrastructure builder.
Vaida BitvinskÄ—
Co-founder of Supercorp; public profile describes her as a PhD researcher in human–AI interaction and as helping brands add AI to their products.
Executive Team
Domas Bitvinskas
Co-Founder
AI-agent and open-source AI builder; his public company history lists him as co-founder of Supercorp, Superinterface and Supermachine, and previously as co-founder of several AI and developer-tool projects.
Vaida BitvinskÄ—
Co-Founder
Human–AI interaction researcher and product/AI collaborator; public profiles identify her as a Supercorp co-founder and PhD student.
Founding Story
Domas Bitvinskas's company history places Supercorp's start in October 2023. The initial vision was to build and support open-source AI products and tooling rather than a single closed application; Supercorp's site frames this as distributing AI widely and contributing to local models and open-source AI tooling.
Business Model
Revenue Model
Paid subscriptions and usage-based charges for hosted Supermachine MCP infrastructure, with custom enterprise contracts; Superinterface also offers paid plans/trials. Supercov is free and open source.
Pricing Tiers
Up to 20 MCP servers and 10 machines; hosted and managed servers, logs, support and MCP-client integrations; 7-day free trial.
100 MCP servers and up to 1,000 machines; 100 servers included, then $0.30 for each additional server; routers, per-user servers, custom domains and other advanced features.
Unlimited servers and machines, premium support, volume discounts, 99.9% uptime SLA, private/dedicated servers and self-hosted VM connections.
Target Markets
- Software and SaaS companies embedding AI into products
- Developers and teams building AI agents and MCP integrations
- Engineering teams and coding-agent users
- Software factories and organizations running automated development loops
- Building AI copilots and assistants into SaaS products and websites
- Form-filling, code-canvas and other interactive AI applications
- Giving AI agents authenticated access to Gmail, GitHub, PostgreSQL and other tools
- Hosting and routing MCP servers for teams and per-user agent experiences
- Helping coding agents write focused tests and improve coverage autonomously
- Running software-factory quality loops and catching regressions before shipping