Custom AI Development

Custom AI Development for Business

Production AI for the work your teams already do.

Acesoft designs and ships machine learning, language and vision applications around your operations. Each build connects to the systems you run today, and we evaluate it before it goes live.

  • LanguageChatbots, assistants, documents
  • VisionImages, scans, inspection
  • PredictionForecasts from your data
AI studioPreview
🔒ISO 27001certified team
✅Evaluatedbefore go-live
Natural language✦Computer vision✦Predictive analytics✦Custom applications✦Document understanding✦Secure by design✦Agile delivery✦Your systems✦Natural language✦Computer vision✦Predictive analytics✦Custom applications✦Document understanding✦Secure by design✦Agile delivery✦Your systems✦
  • 🏆
    QualityISO 9001

    A managed way of delivering software, from the first workshop through support.

  • 🛡️
    SecurityISO 27001

    Security protocols and encryption, so confidential client data stays confidential.

  • 🌍
    Where we workFive regions

    Teams serving Canada, the USA, the UK, the UAE, and India.

  • 🔑
    What you keepThe application

    You own what we ship, with notes so your team can run it.

What we build

AI applications that take a real task off the pile

Acesoft builds AI software for businesses that need the work done inside their own process, not in a separate demo. Chatbots and assistants are one part of that. Vision, forecasting, and industry-specific applications are the rest.

We start from the decision or the task, look at the data you already have, and integrate the result with the tools your teams use. You stay in the reviews, and you own the application that ships.

💬

Language people can use

Assistants and document tools that answer from your content and hand off when a person should take over.

👁️

Vision that returns fields

Images, scans, and inspection frames turned into structured information another system can store.

📈

Forecasts with a user

Models aimed at planners and operators, so the output is a decision aid rather than a chart nobody opens.

🧩

Software when a product does not fit

A custom application around the workflow, from the first workshop through production support.

What we ship

Eight kinds of AI software, each tied to a task

These are the builds we take from a workshop into production. Filter by capability and open any card to see the task it takes off the pile.

Core capabilities

The AI work we actually deliver

Open a capability and try the live preview to see the shape of the work and read what it includes.

A person in the loop

Low-confidence items wait for a person

A frame from the line is classed, and anything below the confidence you set stays in a review queue instead of being filed as fact. The system does not invent a final decision. Move the threshold and watch the work split.

85%

Filed automatically 0

Review queue 0

Illustrative documents · your threshold is set with your team

Where it lands

The same capabilities, shaped to the industry

Pick a setting. The examples stay inside work we actually take on: language, vision, forecasts, and custom software.

How to engage

Three ways to start, depending on how clear the task is

Some teams already know the workflow. Some need people inside their process. Some still need to choose the first use case. Answer two quick questions to see which fits.

01 · A defined build

One use case, taken to production

The usual path on this page. We scope a single task, design the approach, and ship software your team can run.

  • Workshop, data review, and a written success check
  • The model, the screen, and the integration
  • Evaluation before anything is called live
Book a consultation for a build
02 · People with your team

Engineers inside your process

When you want certified AI engineers working with your staff, rather than a fixed scope handed over at the end.

  • Flexible engagement, in your time zone
  • Language, vision, prediction, and integration skills
  • They stay as the system is used
See AI staff augmentation
03 · Strategy, then build

Choose the first task before you fund it

If several ideas are competing, start with a roadmap: where AI pays off, what to govern, and what to build first.

  • An assessment of the opportunities you already have
  • A sequence, not a pile of pilots
  • A build only after the task is clear
See AI strategy and consulting

How we deliver

From the task to a system people use

Five steps. Open one to see what you leave that step with.

What you get

A build you can run, not a prototype you have to translate

🎯

Applications aimed at the work

Language, vision, prediction, or a custom system that changes a daily task. The measure is use, not a feature list.

  • A screen or API people actually open
  • Answers and fields tied to your content
  • A handoff when a person should decide
🔒

Security and privacy

Security protocols and encryption protect sensitive information. Acesoft is ISO 27001 certified, and confidential client data stays confidential.

  • Access control on the application
  • Encryption for sensitive information
  • A review queue for low-confidence results
⚡

An agile path you can see

We work in short cycles and keep you in the reviews, so the result matches how your teams actually operate. You own what we ship.

  • Working software each cycle
  • Your team in the review
  • Handover notes and support after launch

In every engagement

What is on the table before a model is chosen

These travel with the build. They are not add-ons you discover at the end.

01

The task, in writing

Who uses it, what changes for them, and what “done” means.

02

A look at your data

If the records cannot support the task, we say so before a build starts.

03

A design you can challenge

The model, the interface, and how it connects to current systems.

04

Integration, not a sidecar

Results land in the tools your teams already run.

05

Evaluation before go-live

Quality is checked against the success measure from discovery.

06

A person in the loop

Low-confidence items wait. The system does not invent a final decision.

07

Security in the release

Access control and encryption are part of launch, not a later project.

08

Ownership and support

You keep the application, with notes and a team that stays available.

FAQ

Questions, answered

Want this scoped to your systems? A solution architect will walk through the task with you.

Book a free consultation
What kinds of AI do you build?

Natural language applications, computer vision, predictive analytics, and custom AI software shaped to the business.

Do you only build chatbots?

No. Chatbots and virtual assistants are one language offering. We also build vision, forecasting, and industry-specific applications.

How do you handle sensitive data?

We use security protocols and encryption so confidential information stays protected, and we work as an ISO 27001 certified team.

Will this replace our current systems?

No. We integrate with the systems you already run. Replacement is a separate decision, and only when you ask for it.

Who owns the application?

You do. The engagement includes handover so your team can operate what we built.

Can your engineers work inside our team?

Yes. A dedicated AI team can join your process. That engagement is scoped on its own page if you want people rather than a fixed build.

Let's talk

Ready to get started?
Let's build it together.

Tell us what you are working on. A solution architect will reply with a free consultation, usually within one business day.

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Got an idea? Let's talk