Checksum is a continuous quality platform that autonomously generates, runs, and maintains tests so engineering teams can ship AI-generated code without trading speed for reliability.
Unlike copilots that wait for prompts, Checksum works as a background agent, detecting what needs testing, generating production-ready Playwright, and healing broken tests automatically. Seventy percent of failures resolve autonomously, keeping suites green without manual effort.
Built on fine-tuned data from 1.5+ million test runs, Checksum covers every layer of the SDLC: end-to-end, API, and CI testing from a single platform. Tests are delivered as standard Playwright code, submitted as a PR to your repo. No vendor lock-in.
Checksum integrates natively with Cursor, Claude Code, and 100+ coding agents via /checksum slash commands, so code is tested before a human ever reviews it. AI handles generation and healing on Checksum's cloud: no LLM tokens.
The result: ship faster, with confidence.
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Sutton (formerly Digit Software) is an AI-native operating system built for companies that manage physical operations, from manufacturing and inventory to distribution and beyond. It gives you a powerful, all-in-one core that runs your operations out of the box, with the flexibility to extend, shape, and mold it to fit exactly how your business works. With Sutton Studio, teams can build and launch their own custom apps directly on the platform using natural language, no code required, with permissions inherited from the tools they already use. The result is a system that adapts to your business in minutes, not months.
The platform includes capabilities for supplier management, serialized and lot-based inventory tracking, bills of materials and routings, production scheduling, quality control, guided picking and packing, and order fulfillment. It features a built-in B2B portal for customer and distributor collaboration, job scheduling for production and service teams, and integrations with accounting and commerce tools such as QuickBooks and Shopify and so much more.
By connecting systems that were once siloed, and letting teams extend the platform themselves instead of waiting on a vendor roadmap, Sutton becomes the real-time, AI-native operating system for product-based businesses, giving companies visibility, accuracy, and confidence across every process.
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Entry Point AI
Entry Point AI is the modern AI optimization platform for proprietary and open source language models. Manage prompts, fine-tunes, and evals all in one place. When you reach the limits of prompt engineering, it’s time to fine-tune a model, and we make it easy. Fine-tuning is showing a model how to behave, not telling. It works together with prompt engineering and retrieval-augmented generation (RAG) to leverage the full potential of AI models. Fine-tuning can help you to get better quality from your prompts. Think of it like an upgrade to few-shot learning that bakes the examples into the model itself. For simpler tasks, you can train a lighter model to perform at or above the level of a higher-quality model, greatly reducing latency and cost. Train your model not to respond in certain ways to users, for safety, to protect your brand, and to get the formatting right. Cover edge cases and steer model behavior by adding examples to your dataset.
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