Computer vision development services trained on your images

Computer vision development services trained on your images

Vision models that inspect, detect, and read in your real conditions, built by senior nearshore engineers in your time zone.

Applebees
KPMG
Mastercard
Microsoft
NetJets
Toyota
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
Who We Are

Vision models that hold up in real conditions

A model that works on clean sample images often fails on your floor, where lighting shifts, angles change, and edge cases are constant.

FusionHit trains vision models on your own images and validates them against those conditions, with senior nearshore engineers in your time zone.

FusionHit nearshore engineers training computer vision models with a US client team \
WHAT WE BUILD

Computer vision solutions we build

The vision tasks that replace manual checking and watching.

Visual quality inspection

Catch defects on the line at production speed, consistently across every shift.

Object detection

Find, count, and track objects across images and live video feeds.

OCR and document capture

Read text from documents, labels, and forms, and turn it into structured data.

Video analytics

Turn camera feeds into events, alerts, and metrics your team can act on.

Image classification

Sort and tag images automatically against the categories your business uses.

Medical imaging analysis

Support clinical review with models trained on your imaging data.

YOUR DATA

No training data? That’s usually where we start.

Most vision projects stall on images, not algorithms. Here is how we handle it.

Data collection

We help you capture the images you need, in the conditions the model will actually face.

Annotation

We label and quality-check your dataset, so the model learns from clean examples.

Synthetic data

When real samples are rare, like uncommon defects, we generate what is missing.

Pretrained models

We start from proven models and adapt them, so you need far fewer labeled images.

WHAT WE DELIVER

Our computer vision services

From feasibility to a model running on your hardware.

Computer vision consulting

Assess whether your use case, images, and accuracy targets are realistic before you invest.

Custom model development

Train and validate vision models on your data and your acceptance criteria.

Proof of concept

Prove accuracy on a contained scope before committing to a full build.

Model optimization

Improve accuracy, speed, and cost, including running models on edge devices.

Computer vision integration

Connect the model to your cameras, production line, or software.

Why FusionHit

Why companies build vision systems with us

  • Senior AI engineers

    Engineers who have shipped vision models into production environments, not lab conditions.


  • Models trained on your data

    We train on your images and your edge cases, so accuracy holds in your setting.


  • Accuracy you can verify

    We agree on acceptance criteria upfront and report against them, before anything goes live.


  • Real-time collaboration

    Nearshore engineers on US hours, live in your reviews and on-site validation calls.

FusionHit nearshore computer vision engineers working with a US client team

Let your cameras do the checking.

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
INDUSTRIES

Computer vision for your industry

Where automated seeing replaces manual inspection.

Manufacturing

Defect detection, assembly verification, and safety compliance on the line.

Retail

Shelf monitoring, checkout automation, and in-store traffic analytics.

Healthcare

Imaging analysis and clinical documentation support, on HIPAA-ready infrastructure.

Logistics

Package scanning, damage detection, and warehouse automation.

Insurance

Automated damage assessment from claim photos.

Fintech

Document capture and identity verification for onboarding.

TECHNOLOGY EXPERTISE

The computer vision stack we build with

Proven frameworks and models for production vision systems.

Frameworks

Models

Deployment

Data

HOW WE ENGAGE

Engage a computer vision team the way that fits

Add senior AI engineers to your team, embed a dedicated team, or hand us the full build. Pick the model that fits how you work today.

Add AI engineers to your team

Senior nearshore AI engineers join your existing team, under your direction, in days, not months.

Embed a dedicated vision team

A stable, cohesive team that works only on your vision system as an extension of yours. You set priorities and roadmap, the team self-organizes sprint after sprint.

Hand us the full build

Hand us the roadmap and we deliver end to end, under our direction: data, annotation, training, and deployment. You get an outcome, not a team to manage.

FAQ

FAQs about our computer vision development services

01

How much annotated image data do we need to start?

Less than most teams expect. We start from pretrained models and adapt them, which cuts the requirement dramatically, often to a few hundred well-labeled examples per class rather than tens of thousands. We tell you the real number after seeing your use case.
02

We don’t have training data. Can you still build it?

Yes. We help you capture images in the conditions the model will face, annotate them, and generate synthetic samples for rare cases like uncommon defects. Data collection is part of the project, not a prerequisite.
03

How accurate will the model be?

We set acceptance criteria with you upfront, then measure against a held-out set from your real conditions. Accuracy depends on image quality and how distinguishable the cases are, and we tell you early if your target is not reachable.
04

How much does a computer vision project cost?

Most engagements start with a proof of concept on a contained scope, which keeps the initial investment low and proves accuracy before a full build. Cost then depends on data work, model complexity, and deployment. Senior LATAM rates run 30-50% below US equivalents.
05

Can the model run on our devices instead of the cloud?

Yes. We optimize models for edge hardware like NVIDIA Jetson and industrial cameras, so inference happens on site, with no latency or connectivity dependency.
06

How long does a computer vision project take?

A proof of concept typically runs weeks. A production deployment depends on data readiness, integration with your equipment, and the validation your environment requires.
07

Can it work with our existing cameras?

Usually yes. We assess your current setup first, and only recommend hardware changes when image quality is the real blocker.
08

What happens when conditions change?

Lighting, products, and processes shift, so accuracy drifts. We monitor performance in the field and retrain as needed, which falls under MLOps with the same team.

Ready to automate what your team inspects by eye?

Tell us what you need to detect, and we’ll tell you honestly whether vision can do it.

Trusted by leading teams

  • Mastercard
  • NetJets
  • KPMG
  • Applebees

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