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AI vision for AI teams

Build real AI vision systems, not research experiments

Turn camera footage and requirements into a working AI vision application. Avoid wasting time with coding, annotating, model training, or stitching together models and CV frameworks. Instead, use prompts with Visual General Intelligence to build and see results today.
Start from a template
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Computer Vision for AI Teams

Create custom
AI vision applications

Build computer vision use cases without turning every request into a custom development project - build, iterate, and ship in hours instead of months.

Prototype any use case in minutes

Upload camera footage and simply describe what the system should do. Attach requirements you have or ask Viso to work with industry best practices.

Get a working AI vision application for your PoC immediately, instead of starting with curating data, annotation, model selection and weeks of experimentation.

Build the whole vision application

Based on your needs, Viso Now creates the entire computer vision application, including the input, visual reasoning, detection logic, rules, and output actions. You can run and test it with more demo footage right away.

Change what the system looks for, refine rules and thresholds, or update how findings are handled without re-training or rebuilding the entire system. 

Visual General Intelligence, instead of training

Use pre-trained Visual General Intelligence for advanced visual tasks without reducing every problem to classes and bounding boxes.

Reason about objects, activities, interactions, relationships, sequences, and situations. VGI can judge, estimate, qualify, rank, and apply deep domain knowledge to benchmark scenes against industry best practices.

Review scenes for hazards, non-conformities, and other issues without defining every condition or collecting a dataset first.

Production infrastructure included

Viso now gives you access to a perception engine powered by the latest AI models, optimized inferencing, file storage, authentication, databases, and real-time features. All is auto-provisioned.

Add AI computer vision to your product with visual general intelligence, human-level detection and deep analysis.

Connect the stack you already have

Use existing IP cameras, CCTV, NVRs, video files, or cloud storage as inputs, to ingest live video or images.

Connect to hundreds of tools via connectors or API's. Push results with media and custom metadata to Slack, Teams, email, and other downstream systems.

The Viso Advantage

Build complete vision applications in hours

Test new computer vision ideas on your own footage in hours, before committing to data collection, annotation, model training, or a vendor-led pilot.

Start with real footage

Use images or video from the actual environment. Describe what the system should understand and test the requirement directly against your data.

Build a full application

Viso Now builds the visual reasoning, application logic, review workflow, and outputs around the requirement.

Iterate with the team

Review results and failure cases with the teams who own the process. Refine the application without creating new labels, datasets, or training runs.

Move into production

Connect existing cameras, configure the workflow, and route findings to the systems your teams already use.

Customer stories

"Finding a model that can detect something was never really the issue. We'd already run models and tested different vendors. The work was everything around it. Getting enough data, handling edge cases, changing the logic, and then turning the result into something the business could actually use. Viso Now was interesting because we could directly work on the application instead of constantly wiring the stack together."
RD
Ralph D.
Director of AI · Global Manufacturer
"We'd already evaluated a few computer vision vendors. The demos usually looked good. The problem started when we gave them our footage and our requirements. Then it became data collection, labeling, tuning, and a pilot that took months. With Viso Now, we started with our own footage on day one. We could see very quickly whether the use case was worth pursuing."
DS
Devin S.
Senior Data Scientist · Furniture Manufacturer

FAQ

Frequently asked questions

No, you will not outgrow Viso. Start building an MVP and scale to full production. You always own your data.

Viso provides a suite of enterprise products to deploy to the Edge and orchestrate a large number of computer vision applications in global deployments. Talk to our enterprise team to learn more.

No. New applications do not require an annotation project or task-specific model training. This means you can start evaluating a use case immediately instead of building the ML pipeline first.

Test the application against representative footage from your environment and review the results directly. Because you can iterate quickly, you can validate different conditions, edge cases, and requirements before deciding whether the use case is ready to move forward.

Visual General Intelligence, or VGI, is a new approach to computer vision that can understand and reason about real-world scenes without task-specific training.

Instead of training one narrow model for each object, event, or condition, VGI can apply broad visual knowledge to different environments and visual questions.

Yes. Upload images or video from the environment where the application needs to work and test the actual requirement directly. You do not need to prepare a dataset first.

Viso Now utilizes a multi-model orchestration approach, leveraging a proprietary composite architecture to decouple specialized components from the base layer. 

The platform automatically routes tasks across leading foundation models, such as Claude (Anthropic), GPT (OpenAI), and Gemini (Google), to power its perception engine, agentic workflows, or code generation. This strategy ensures that high-performing models handle deep reasoning and multi-modal inputs, while lighter models drive rapid execution, providing a highly optimized, state-of-the-art development experience.

Yes. Viso Now can work with activities, interactions, conditions, relationships, sequences, exceptions, and other questions that are difficult to reduce to a fixed set of classes or bounding boxes.

Yes. Viso Now can work with existing IP and CCTV cameras, video systems, NVRs, stored files, and supported cloud storage sources. The system requires camera access to connect using pre-built connectors.

Yes. Vision applications can use existing data sources and send results into downstream systems and workflows through connectors and APIs.

Yes, team members can collaborate or access the applications you build at any time. We offer free sharing from day one, and a modern tech stack that any team can work with.

Ready to build?

Bring the vision problem your team is evaluating now. Show Viso Now the footage and see what works.