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Every company is figuring out how to use AI for internal tools, ops dashboards, and workflow automation. But they're stuck choosing between expensive consultants and dev shops, brittle no-code platforms, cloud AI tools that bleed tokens at $0.01 a tap while making costs variable and sends proprietary data to frontier model providers. For regulated teams in finance, healthcare, legal, and government, that last problem is a non-starter: their data simply cannot leave the building. Avery NXR (Native eXecution Runtime) fixes this by turning plain-English prompts into production-ready apps and agentic AI automations, using deterministic, versioned generator plugins for the core code and a local Small Language Model (SLM) that plans, fills the gaps and can be fine-tuned for individual needs. Everything runs on the user's machine (or on-premise servers), fully air-gapped by default, with zero risk of data egress and zero per-token costs. Cloud LLMs are opt-in via Consult Mode, so teams choose, prompt by prompt, when (and whether) to ever leave the laptop. The result: solo operators get a one-person dev team, growing businesses save $100K+ of contractor spends, and regulated enterprises finally get the AI transformation story their compliance team can sign off on.

Website https://avery.software
Employees 13 (6 on RocketReach)
Founded 2023
Industry Software Development

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Ruban Phukan is the CEO and Co-Founder of Avery.Software.

6 people are employed at Avery.Software.

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