AI Product Development
Software that understands photos, scans and video
Photos and scans hold information your team reviews by eye every day. We build systems that read them automatically and flag what needs a person's attention.
The problem
The problem this solves
Many businesses rely on people looking at pictures. Inspectors review photos of damage. Warehouse staff count stock on shelves. Field technicians photograph finished work as proof. Quality teams check products for defects. Office staff read scanned forms. It is careful work, but slow, and attention slips on the hundredth image of the day.
Computer vision used to require large custom-trained models, thousands of labeled images and specialist teams. That is still the right approach for some high-volume tasks, but for many business uses it is no longer needed. Modern multimodal models can describe an image, answer questions about it and extract text with OCR out of the box.
We start with the simplest approach that meets your accuracy needs. Often a general vision model with good instructions and checks is enough. When volume, speed or accuracy demand more, we train a specialized machine learning model on your own images. Either way, results come with confidence scores, and uncertain images go to a person.
Typical projects include checking that required photos were taken and show the right thing, estimating damage for claims, reading meter or label values, counting items, spotting defects on a production line and capturing data from receipts and documents. Mobile apps often capture the images; our cross-platform apps service covers that side.
Privacy matters with images. Faces, license plates and personal documents may appear in photos. We blur or exclude what is not needed, choose providers that match your data rules and keep images only as long as necessary. The review screens show reviewers only what they need to make a decision.
What you get
What you get
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Task definition
What the system must see, decide or read, and how accurate it must be.
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Image capture guidance
In-app guidance so photos are well lit, framed and usable.
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Vision model setup
A general vision model with instructions, or a custom-trained model when needed.
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Checks and rules
Results validated against business rules and expected values.
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Review queue
Low-confidence images sent to a person with the AI's suggestion.
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Privacy protection
Blurring or exclusion of faces and personal details where required.
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System integration
Results sent to your claims, inventory, quality or field service system.
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Accuracy tracking
Precision, error types and review rates monitored over time.
How we build it
How we build it
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1
Define the task
We agree what must be detected or read and the cost of mistakes.
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2
Collect images
A representative set of real images, including hard cases.
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3
Prototype
General models tested first; custom training only if needed.
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4
Build
Capture, processing, review and integration built as one pipeline.
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5
Launch and monitor
Run alongside manual review, then reduce review as accuracy is proven.
AI and people
Where AI helps, where people decide
AI makes the repetitive parts faster. The decisions that shape your product stay with experienced people.
Where AI speeds things up
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Analyzing images and returning structured results.
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Pre-labeling images to speed up training data creation.
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Generating test sets from real image collections.
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Writing processing and integration code.
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Grouping errors by cause for improvement.
Where people decide
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What accuracy is acceptable for each decision.
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Which images must always be reviewed by a person.
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How personal data in images is handled.
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Whether a custom model is worth the effort.
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When the system can reduce manual checks.
Is this right for you?
When this is the right choice
A good fit when
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Staff review many photos or scans by eye.
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The visual decision can be described clearly.
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Mistakes can be caught by a review step.
Consider something else when
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You only review a few images a week.
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The decision needs expert judgment that is hard to describe, such as medical diagnosis.
Timeline and cost
What affects the timeline and cost
A prototype using a general vision model often takes a couple of weeks. Custom-trained models, mobile capture apps and integrations add time, typically delivered in stages.
We do not publish fixed prices because scope drives cost. How we estimate.
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Image variety
Varied lighting, angles and conditions need more testing.
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Custom training
Training a specialized model needs labeled data and compute.
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Speed requirements
Real-time video is much harder than processing uploaded photos.
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Volume
Per-image costs add up at scale; custom models can lower them.
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Capture app
A mobile app for guided capture adds scope.
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Privacy handling
Blurring and retention rules add processing steps.
Keep exploring
Related services, solutions and reading
Related services
View all related services- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Document automation Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
- Dashboards and reporting Dashboards that pull numbers from the systems you already use and show what matters without a spreadsheet.
- Ecommerce websites Online stores with clean product catalogs, simple checkout and the integrations that keep orders moving.
- Mobile App Development iOS, Android and cross-platform apps with the backend and APIs they need, taken all the way to the app stores.
- Internal tools Custom software for your own team: trackers, approval flows and back-office systems that replace spreadsheets.
Solutions
View all solutions- Receipt capture and matching Snap a receipt, and the details are read, categorized and matched to the card transaction and the right project.
- Forecasting dashboards Forecast demand from your sales history and seasonality, and flag items to reorder before they run out.
- Invoice processing Read supplier invoices, match them to orders and push approved ones into accounting, with exceptions flagged for review.
- AI document processing Read forms, applications, IDs and statements, extract the fields you need and route each document for the right review.
- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- Scheduling and drafting automation Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
Industries
View all industries- Manufacturing Quality inspection, production dashboards, quoting tools, knowledge assistants and legacy system modernization for manufacturers.
- Construction and facilities Job tracking, maintenance requests, inspections, quotes and proof-of-work photos for builders and facility teams.
- Insurance Claims intake, document and photo processing, policy knowledge assistants and customer portals for brokers and insurers.
- Retail Stock forecasting, sales dashboards, feedback analysis and store tools for retailers with shops and online sales.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
Case studies
View all case studiesGuides and articles
View all guides and articlesAI models
View all ai models- Vision and multimodal Models that read images, scans, screenshots and sometimes audio or video alongside text.
- Image and video Models that generate or edit images and video from text and reference images.
- Gemini 3.1 Pro Google's most advanced Gemini model for reasoning, software engineering and agent work, reading text, images, audio, video and PDFs. Available as a preview.
- Gemini 3.8 Flash Google's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
- Gemini Embedding 2 Google's current embedding model, multimodal: it embeds text, images, video, audio and PDFs for search and retrieval.
- Stable Diffusion 3.5 Stability AI's open-weight image models, in Large, Medium and Flash versions, which can be self-hosted or used through the Stability API.
Glossary terms
View all glossary terms- Multimodal model A multimodal model is an AI model that can take in more than one kind of input, such as text with images, audio or video.
- OCR OCR, or optical character recognition, is technology that turns text in images and scanned documents into machine-readable text.
- Machine learning Machine learning is a way of building software that learns patterns from data to make predictions or decisions, instead of following only hand-written rules.
FAQ
Questions about computer vision
Have a question that is not here? Ask us directly.
Often not. Modern vision models work well on many tasks with just clear instructions and a few dozen test images. Custom training needs more data and is used only when necessary.
It varies by task and image quality. We measure accuracy on your real images before launch and route uncertain cases to people, so mistakes are caught.
Yes, from labels, receipts, meters, forms and documents. See document automation.
Insurance for claims photos, manufacturing for quality control, retail for stock and shelves, and construction and facilities for proof of work. See manufacturing.