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https://gnbly.com/Gnbly — AI products that compound your team
Gnbly is a research-led studio building AI-native software that automates the work behind the work for go-to-market, content, and operations teams. Rather than offering a single chatbot, Gnbly delivers three focused products — NatterGPT, Vidsue, and WorkerFleet — that share a common AI fabric: a model-agnostic core with long-horizon memory, deterministic tool use, and enterprise-grade isolation. This shared foundation means improvements in one product benefit the others, creating compounding value for teams that adopt multiple tools.
Each product solves a distinct but related problem. NatterGPT is an AI voice agent that picks up the phone for you. It calls suppliers, books appointments, navigates IVR systems, and returns with a transcribed, auditable record of the conversation. It is designed for multi-step goals across calls, email, and calendars, with human-grade timing and turn-taking to ensure natural interactions. Vidsue automates long-form video production: it turns research, slides, and scripts into finished videos complete with voice-over, b-roll, captions, and edits — all handled by AI. The output is publish-ready for platforms like YouTube, LinkedIn, and TikTok, using brand-locked voices and visual templates to maintain consistency. WorkerFleet enables teams to spin up a fleet of specialized AI workers — for research, operations, support, or sales — and orchestrate them as a coordinated team. These agents share memory and observability, can be connected via drag-and-drop workflows, and integrate with tools like Slack, Notion, HubSpot, and Linear. Full traceability, replay, and approval mechanisms ensure accountability.
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Try ToolSuite NowThe underlying platform emphasizes reliability and control. Agents are built with long-horizon memory, allowing them to retain context across days and tool uses — not just within a single chat session. Tool use is deterministic: typed, retryable, and replayable, so behavior is testable and not reliant on “vibes.” Enterprise isolation is enforced through per-tenant keys, audit logs, and customer-managed encryption. Open observability traces every step, enabling users to inspect, intervene, or hand off to a human with one click. The platform is SOC 2 Type II compliant, GDPR- and HIPAA-ready, and supports region pinning for data residency requirements.
Gnbly reports shipping over 12 million agent actions monthly across 40+ countries, with a trailing 90-day uptime of 99.98%. The company was founded in 2023 by engineers and researchers from large AI labs who sought to build competent coworkers that finish real work — not just chatbots that promise without delivering. Headquartered in San Francisco with a remote-first team across four continents, Gnbly operates on five principles: ship the boring magic, treat taste as a discipline, own the outcome, default to evidence, and be a good neighbor to customers, the web, and the models.
While Gnbly’s products are powerful for automating repetitive, multi-step tasks — especially in sales ops, customer support, content production, and internal workflows — they are not designed for open-ended creative brainstorming or casual conversation. Teams seeking a general-purpose AI chatbot for ideation or entertainment may find the focus on task completion and auditability too rigid. Similarly, organizations without clear, repeatable processes to automate may not immediately see value, as the platform’s strength lies in executing defined workflows rather than exploring ambiguous goals. The absence of published pricing in the source material means potential users must contact Gnbly directly for cost details, which could be a barrier for smaller teams evaluating options.
For teams already using tools like Slack, Notion, HubSpot, or Linear, and looking to reduce manual effort in scheduling, outreach, video creation, or agent orchestration, Gnbly offers a cohesive system where each product enhances the others. The shared memory and security model reduce the complexity of managing multiple AI tools, while the focus on observable, testable behavior addresses enterprise concerns about reliability and compliance.
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