AI & Machine Learning
Ship production-grade AI, not another demo.
We build, deploy, and run the models, data pipelines, and MLOps that hold up under real traffic, with one accountable team from strategy to production.
- From proof-of-concept to production, with evaluation & guardrails
- Computer vision, GenAI, forecasting & document intelligence
- 90%+ model accuracy shipped for real clients
Get a free AI consultation
Tell us the problem, we’ll bring an approach and a rough timeline.
Trusted by 700+ companies across 6 countries
Built on the platforms you trust
- AWS
- Microsoft Azure
- Google Cloud
- TensorFlow
- PyTorch
- Databricks
- OpenAI
- Hugging Face
- 25M+
- Documents processed with OCR
- 90%+
- Model accuracy shipped
- 150K+
- Assets analyzed by computer vision
- 17+
- Years of engineering
What you get
Everything you need to get AI into production
AI & machine learning services design, build, deploy, and run production models, computer vision, generative AI, document intelligence, and forecasting, together with the data pipelines and MLOps that keep them accurate in the real world.
Reviewed by the VertexPlus AI PracticeUpdated August 2026
- Discovery & feasibility, the right use case, scoped to real ROI
- Custom models, CV, NLP, GenAI, forecasting, built for your data
- Retrieval-augmented assistants with citations & evaluation
- Data pipelines, labeling, and MLOps for continuous delivery
- Human-in-the-loop review & monitoring dashboards
- Documented, tested, deployable code, the IP is yours
How to engage
Work with us the way that fits
Start small and scale, or embed a team from day one, every model comes with the same senior talent and accountability.
Fixed-scope project
A well-defined deliverable, timeline, and price, ideal for a proof-of-concept or a bounded build.
Dedicated ML team
A cross-functional squad that owns your AI roadmap and ships continuously alongside your team.
Staff augmentation
Senior ML and data engineers who plug into your existing team and delivery process.
How we deliver AI
A process built to de-risk AI
One accountable team, four clear stages, from data audit to a model that keeps working in production.
- 1
Discover & data audit
We pin down the use case, ROI, and data readiness, and tell you honestly if a simpler approach wins.
- 2
Model & evaluate
Build a proof-of-concept fast, measured against a curated evaluation set before any large investment.
- 3
Deploy with guardrails
Ship to production with citations, human-in-the-loop review, monitoring, and ISO-aligned security.
- 4
Monitor & retrain
Track accuracy continuously and retrain as your data and the real world change, so it keeps working.
Capabilities
Depth across the AI stack
We choose the technique to fit the problem, from classic ML to generative AI, and take responsibility for the whole lifecycle, from data to deployment.
Computer vision
Detection, classification, and video analytics, proven at 90%+ accuracy across security and retail deployments.
Document intelligence
OCR and extraction at massive scale, with custom purification models for messy, archived, real-world data.
Generative AI
Retrieval-augmented assistants grounded in your sources, with citations, evaluation, and safety guardrails.
Forecasting & ML
Prediction and optimization models built on your data and validated against real business outcomes.
Data & MLOps
Pipelines, labeling, and continuous delivery so models keep improving long after launch.
AI governance
Human-in-the-loop review, monitoring, and ISO-aligned security built into every system we ship.
Why VertexPlus
Partner with us vs. build in-house
| With VertexPlus | Building in-house | |
|---|---|---|
| Time to first working model | Weeks, proven playbooks & reusable pipelines | Months, hiring, ramp-up, trial and error |
| Senior AI/ML talent | On day one, from a 17+ year practice | Scarce, expensive, hard to retain |
| Production & MLOps | Built in, monitoring, retraining, guardrails | Often an afterthought; models drift |
| Accountability | One team owns the outcome, end to end | Split across roles and vendors |
| Security & compliance | ISO-aligned, NDA on request | Must be built and audited from scratch |
“VertexPlus helped us optimize processes we couldn’t even measure before. The accuracy and reliability changed how the whole team operates.”
“From a messy archive to a clean, queryable dataset at a scale we didn’t think was possible.”
Trust & compliance
Certified to international standards
Independently audited across security, quality, and service management, the assurance enterprise and regulated clients require.
ISO 9001:2015Quality Management
ISO/IEC 27001:2013Information Security
ISO/IEC 20000-1:2018IT Service Management
ISO 14001:2015Environmental
ISO 45001:2018Health & Safety
CMMI Level 3Process Maturity
Explore related work
FAQ
AI & machine learning, questions, answered
How do you decide whether AI is the right fit for our problem?
We start with a short discovery that weighs the use case against data readiness and expected ROI. If a simpler, non-AI approach will get you there faster and cheaper, we’ll tell you, we’d rather earn a long-term partnership than sell an unnecessary model.
How quickly can we see results from an AI engagement?
Most engagements begin with a scoped discovery in the first week and a working proof-of-concept within a few weeks, before any large build. That lets you validate value early and control risk before committing to full production.
What AI and machine learning capabilities do you offer?
We cover computer vision (detection, classification, video analytics), document intelligence (OCR and extraction at scale), generative AI (retrieval-augmented assistants with guardrails), forecasting and optimization, plus the data pipelines and MLOps needed to run it all in production.
Who owns the models, data, and code?
You do. All intellectual property, source code, and trained models belong to you. We hand over documented, tested, deployable assets, never a black box you can’t maintain.
How do you keep models accurate over time?
Accuracy is measured continuously, not assumed. We build monitoring, evaluation sets, and retraining pipelines into the system so performance is tracked and maintained as your data and the real world change.
How do you handle data security and compliance?
We sign NDAs on request and follow independently audited, ISO-aligned practices for security, quality, and service management, with role-based access, secure development, and clear data-handling terms in every engagement.
What engagement models are available?
Fixed-scope projects for well-defined deliverables, dedicated ML teams for ongoing product work, staff augmentation to extend your in-house team, or fully managed operations, whichever fits how you deliver.
Start a conversation
Let’s put AI to work, responsibly.
Book a free consultation with our AI practice. We’ll assess the opportunity and recommend the shortest path to real value.