Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery.
The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team.
Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required.
The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.
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INTOO, the global career transition and outplacement division of Gi Group Holding, has supported more than 25,000 organizations over the last three decades in helping employees successfully navigate career change. Our award-winning solutions combine personalized, unlimited one-on-one coaching with intuitive digital tools designed to accelerate job searches—helping participants secure new roles 2.5 times faster than the national average while maintaining a 97% satisfaction rate. Serving clients in over 130 countries and 40+ languages, INTOO partners with HR leaders worldwide by delivering scalable support, actionable workforce insights, and a high-touch experience throughout every transition. At INTOO, we’re guided by one simple promise: to care more about your employees, your outcomes, and your success.
Our programs include:
- Seven-day-a-week access to expert career coaches for support with networking, LinkedIn optimization, personal branding, interview preparation, job search strategy, and more
- Personalized resume reviews designed to improve ATS performance and visibility
- Live daily webinars led by career experts on a wide range of job search and career development topics
- and more
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Custovia
Custovia AI is an advanced customer intelligence platform that utilizes artificial intelligence to create hyper-realistic synthetic customer personas based on your data, allowing teams to effectively test products, features, and marketing strategies prior to their launch. By mimicking the thoughts, behaviors, and reactions of genuine audiences, it significantly reduces the time needed for insights from weeks to mere hours, all while prioritizing data security and user privacy. What sets Custovia apart from conventional persona methodologies is its ability to produce dynamic AI personas that are continually refreshed using actual behavioral data, rather than relying on outdated static assumptions. This innovative approach empowers companies to validate concepts, mitigate risks, and refine strategies swiftly, avoiding the time and expense associated with traditional research methods. In addition, Custovia provides an extensive library of ready-to-use AI persona types and enables teams to securely integrate their own data, facilitating the creation of tailored personas that align with their specific audience and products. Users can then design experiments and gain immediate insights from simulated reactions across various segments, optimizing their marketing efforts. Ultimately, Custovia AI transforms the way businesses understand and engage with their customers, making it easier to adapt to ever-changing consumer needs.
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Electric Twin
Electric Twin is an innovative platform that utilizes AI to simulate synthetic audiences by constructing virtual populations based on actual data, enabling teams to swiftly forecast the thoughts, behaviors, and responses of target consumers concerning products, messages, campaigns, and strategic inquiries without the need for conventional surveys or focus groups. By integrating advanced language models, machine learning techniques, and insights from social science, it generates intricate synthetic personas that authentically reflect real-world demographics, allowing for rapid queries that yield insights with statistical accuracy akin to traditional research methods, often achieving results in mere seconds rather than the weeks typically required. This capability empowers organizations to evaluate marketing copy, product concepts, campaigns, and market hypotheses, facilitating quick iterations across various segments and enabling them to investigate responses from diverse demographic groups, ultimately expediting insights that would otherwise necessitate expensive and time-consuming field studies. Consequently, Electric Twin not only enhances decision-making efficiency but also reduces research costs, making it an invaluable tool for businesses aiming to stay ahead in a competitive landscape.
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