Why we build computer vision that runs on the device
On device vision is faster, cheaper, and private by default. Here is how we think about it at Techiro.
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A chatbot answers questions. An agent gets things done. The gap between the two is tools, memory, and a feedback loop.
An agent becomes useful the moment it can call your APIs, read your data, and write back results. The model reasons, the tools act.
Retrieval keeps answers tied to your real data instead of the model imagination. Pair it with evaluation so you can measure quality, not just vibes.
The best automations remove a small chore that happens a hundred times a day. Stack a few of those and a team gets its week back.
On device vision is faster, cheaper, and private by default. Here is how we think about it at Techiro.
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