AI & Machine Learning Engineering
Machine Learning Consulting Company for Regulated Industries
Hexaview turns your data into models that hold up in production. 200+ AI, data and cloud experts. SOC 2 Type 2 certified. Built for fintech, healthcare and travel.
- Prove the use case in AI Labs before you fund a full build
- 200+ experts across AI, data science and cloud engineering
- Audit trails and governance built into every model we ship
SOC 2 Type 2 certified, AWS Select Tier Partner. Clients include LPL Financial, Addepar.
Prefer to talk? Call +1 (845) 653 3855
Tell us about your ML project
Share a few details. An ML consultant will review your goal and reply with next steps.
Why teams pick Hexaview for machine learning
Test the idea before the big spend
Our AI Labs build rapid prototypes and POCs so you can validate a use case first, then scale what works.
Built for regulated data
We are SOC 2 Type 2 certified with an ISO information security management system, and we design for HIPAA, SOX, GDPR and KYC/AML needs.
Deep fintech and wealth domain knowledge
More than 10 years of work in capital markets and wealth management means less time explaining your business to us.
Models that reach production
We handle data pipelines, model lifecycle, automated testing and QA, so your model does not stall in a notebook.
One team, end to end
200+ experts cover data engineering, data science, cloud platforms and app development, so handoffs do not slow you down.
Traceable AI-assisted engineering
Code intelligence and annotation let you trace AI-generated code to its source, with rollback and audit trails.
What our machine learning consulting covers
We start with your business problem, not the algorithm. Our consultants map high-impact use cases, check whether your data is ready, and build a roadmap you can act on. Then our engineers build, test and deploy the solution on cloud and data platforms your team can maintain.
Most of our clients are wealth managers, asset managers, hedge funds, fund administrators, neo banks and fintechs, plus healthcare, insurance and travel companies. Work is led from our New York headquarters with delivery from India.
- AI consulting: use-case discovery, data readiness review and a compliant AI roadmap
- AI Labs: rapid prototyping, POCs and use-case testing before full deployment
- Predictive and decision-support models for risk modeling and portfolio analytics
- Intelligent automation for fraud detection, underwriting and reporting workflows
- NemoClaw agentic AI employees powered by NVIDIA NeMo, with governance and auditability
- Data science, big data engineering and data visualization services
- Microsoft Fabric and Lakehouse setup, plus migration from Synapse, Databricks or legacy warehouses
- Legacy modernization to cloud-native, API-driven architectures that can support AI
Proof from our work
“In our recent collaboration, Hexaview demonstrated deep expertise in Artificial Intelligence, particularly in Large Language Models and DialogFlow. They invested significant time understanding our specific challenges and vision before proposing solutions. This thoughtful approach resulted in a sophisticated AI-driven system that precisely addresses our business needs. Their ability to translate complex AI capabilities into practical business applications was exactly what we needed. The solution they delivered is both technically advanced and practically useful.”
“Hexaview delivered an exceptional experience developing our AI solution, demonstrating remarkable skill and deep technical knowledge throughout the project. Their team's ability to grasp complex requirements and translate them into a polished, effective product exceeded our expectations. From initial consultation through final implementation, their professionalism and dedication were evident in every interaction. They brought innovative ideas and solutions that we hadn't considered, making them stand out from other providers we've worked with. The result is a sophisticated AI solution that delivers real business value.”
“The data lake built by Hexaview Technologies has fundamentally shifted how we manage and utilize data across our organization. Our internal users now have seamless access through microservice and data transformation tools, while our external clients benefit from smooth integration with our portal and data service tools. What sets Hexaview apart is their deep understanding of both the technical architecture and the business implications. They didn't just build infrastructure - they created a comprehensive data solution that serves multiple stakeholder groups effectively. The impact on our data capabilities has been significant and continues to drive value.”
How we start
Send your project details
Tell us the problem you want to solve and the data you already hold. No long form to fill in.
Talk with an ML consultant
We review your use case, data readiness and compliance needs on a call, then suggest the shortest path to value.
Get a scoped plan and quote
You receive a proposal with scope, team shape and milestones, often starting with an AI Labs prototype.
Frequently asked questions
How do you price machine learning projects?
Pricing depends on scope, data readiness, the team size needed and how long you need support. After a short discovery call we send a written proposal with scope and milestones, so there are no surprises.
Can we start small instead of a full build?
Yes. Our AI Labs service exists for that. We build a prototype or proof of concept to test the use case, then you decide whether to scale it into production.
Do you work with regulated financial and health data?
That is our core market. We are SOC 2 Type 2 certified with an ISO information security management system, and we build governance for HIPAA, SOX, GDPR and KYC/AML requirements.
Which industries do you know best?
Fintech, wealth and asset management, capital markets, fund services, banking, insurance, healthcare and travel. We also serve Fortune 500 enterprises and funded startups.
What if our data is messy or spread across systems?
We handle that first. Our team builds data platforms, Microsoft Fabric Lakehouses and migrations from Synapse, Databricks or legacy warehouses so your models have governed data to learn from.
Where are you located and who do you serve?
Our headquarters is at 12 E 49th Street, New York, NY, with delivery from India. We primarily serve clients in the United States and work with global enterprise clients.
Get a clear plan for your machine learning project
Tell us the outcome you want. An ML consultant will review your use case and data, then map the fastest route from prototype to production.
- Prove the use case in AI Labs before you fund a full build
- 200+ experts across AI, data science and cloud engineering
- Audit trails and governance built into every model we ship
Prefer to talk? Call +1 (845) 653 3855
