Viso Now
Build and run AI computer vision agents from plain-language descriptions.
Linked from viso.ai · checked 30 Oct
- Tool type
- AI computer vision agent builder
- Made for
- Teams and builders without ML training
- Runs on
- Web browser, with connected cameras
- Accessed through the Viso Now web app; connects to cameras or connectors for live use.
What it does
Viso Now takes in video from cameras or uploaded footage, along with a plain-language description of the situation to detect or monitor. It produces a working vision agent that can detect events, answer questions about footage, summarize what happened, and produce structured output such as severity levels. The pages state that no labeling or model training is needed to build an agent.
People use it by starting from a prompt or a template (such as PPE checks, loading dock monitoring, or queue analysis), testing the agent on images or short videos, refining it with follow-up instructions, and then connecting cameras or connectors to run it. Its distinguishing feature, per the site, is that the same engine can be redirected across many use cases without building a separate model for each.
It suits teams and individuals who want to prototype or run vision agents without a machine-learning background. Access requires signing in at the Viso Now login page; a Free plan with daily and monthly credits needs no credit card. Usage is metered in credits, so heavier video processing consumes more, and Enterprise deployments such as on-prem or edge are handled through sales.
What it can do
- Build a vision agent from a plain-language description, without labeling or training data
- Start from prebuilt templates such as PPE checks, loading dock exclusion zones, and queue analysis
- Run agents on images or short video clips to detect events, answer questions, or summarize activity
- Refine an existing agent with follow-up instructions such as changing detection logic or output format
- Run multiple vision agents and invite unlimited collaborators on the Free and paid plans
Before you choose
- Usage is metered in credits, and heavier analysis of longer video consumes more; the Free plan is capped at 30 credits per month.
- Pricing and deployment options differ from Viso Suite, the enterprise product; Enterprise on-prem, edge, and SSO features require sales contact.
- Pages do not list specific supported camera brands or third-party integrations, so verify compatibility with your camera setup before committing.
Listed under
Get started
Free plan with daily credits; sign up through the Get started link.
- Create a free account at the Viso Now sign-up page; no credit card is required for the Free plan.
- Choose a template or describe the real-world situation to detect in plain language.
- Test the agent on sample images or short videos, refine it with follow-up instructions, then connect cameras or connectors to run it live.
Plans and prices
Prices in USDFree plan includes 5 credits daily (up to 30 per month) with no card required. Pro and Business are described as monthly with credit rollovers and top-ups; Enterprise pricing depends on company size and volume-based credits. Credit consumption varies by task.
- 5 daily credits (up to 30/month)
- Create and run AI vision agents
- 100 monthly credits
- Unlimited AI vision agents
- Advanced controls and SSO/SAML
- Role-based access and priority queue
Source: viso.ai/viso-now/pricing, checked 30 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
Ratings and reviews
No ratings for Viso Now yet.
What’s changed
Free accountSignals
Free accountData and security
Free accountCompare with similar tools
Free accountWhere this comes from
How we research- Company website
- viso.ai: product, pricing and policy pages
- YC directory mirror
- Batch and company name
- Human review
- Checked by a person
- knowledge_base
- manual_review
Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.