Data Science & AI/ML Consulting
Machine Learning Consulting Services for Enterprises
Turn your data into models that predict, score and forecast. We build, deploy and support machine learning inside the workflows your teams already use.
- ML models built with Amazon SageMaker and Bedrock
- From data pipelines to MLOps and live model support
- AWS Advanced Tier Partner, CMMI Level 5, SOC 2 Type II
AWS Advanced Tier Partner. CMMI Level 5 and SOC 2 Type II certified.
Prefer to talk? Call +91-63589-76018
Scope your machine learning project
Tell us about your data and your goal. An ML consultant will come back to you with next steps.
Why enterprises pick Cygnet.One for ML work
Models that reach production
We do not stop at a proof of concept. We deploy models, monitor them and retrain them so they keep working.
Data foundations included
Our data engineers build the pipelines, warehouses and lakehouses your models need, so results are based on clean data.
AWS-certified team
As an AWS Advanced Tier Partner we build with Amazon SageMaker, Bedrock and Aurora, and review architecture for cost and performance.
Built for regulated industries
Banking, healthcare and insurance clients get security and compliance controls designed in, backed by our GRC, HIPAA and PCI DSS practice.
Support after go-live
24/7 managed application and infrastructure support keeps your models and platforms running.
Proven delivery process
CMMI Level 5 and SOC 2 Type II certified, with 2000+ enterprise solutions delivered across 35 countries.
What our machine learning and data science consulting covers
Most companies have plenty of data and not enough answers. Our consultants start with the business question, check what data you have, then design the shortest path to a model that changes a decision, a price or a process.
We work end to end across the data value chain: engineering reliable pipelines, building analytics platforms, developing and deploying machine learning models, and embedding AI into everyday workflows.
- Model development and deployment with MLOps, Amazon SageMaker and Bedrock
- Credit scoring and risk decisioning models for banks, NBFCs and lenders
- Patient risk stratification for healthcare providers and health-tech firms
- Predictive maintenance and operational efficiency models for manufacturers
- Demand forecasting and customer analytics for retail and e-commerce
- Data pipelines, ETL, data warehouse and lakehouse engineering
- Database and data platform migration from legacy systems to the cloud
- GenAI ideation workshops, AI agents and AI workflow automation
Track record you can check
“The AI-driven insights have been a game-changer”
“We started with the Cygnet partnership about maybe five years ago. I previously used Cygnet in my previous company, so when I moved to a role at Ignition and had a requirement very similar, it was quite easy to pick up and Cygnet is a great company to work with, they gave me the same partner to work with, so it was very easy to pick up and they already understood my needs kind of going forward. Since we started working with Cygnet some years ago, Ignition has evolved quite quickly.”
“We've been working with Cygnet for just over two years. Cygnet has been instrumental in supporting Conversity with the growth of Resourcing and our extended team. I totally recommend Cygnet for providing us skilled resources, having ability to ramp up teams, ramp down teams, and at the same time, I think we have been very impressed with the governance and the processes they have within Cygnet team itself.”
What happens after you send the form
Discovery call
We talk through your use case, data sources, systems and the decision you want the model to improve.
Solution outline and quote
You get a proposed approach, team shape and a quote. Pricing depends on the requirement and the scale of work.
Build, deploy, support
We build and deploy the models, then hand over or keep supporting them with monitoring and retraining.
Frequently asked questions
How is machine learning consulting priced?
Pricing varies based on the requirement and scale of the engagement. Share your use case, data sources and timeline and we will send a scoped quote.
Do you only build on AWS?
We are an AWS Advanced Tier Partner and often use Amazon SageMaker, Bedrock and Aurora. Our cloud engineering team also works across other hyperscalers and hybrid environments.
Our data is messy and spread across systems. Can you still help?
Yes. Data engineering is part of the practice. We build ingestion pipelines, transformation layers and central warehouses to unify data from ERP, CRM and operational systems before modelling.
Can you support models after they go live?
Yes. We deploy models with MLOps practices and offer 24/7 managed application and infrastructure support, monitoring and continuous validation.
Do you work with US companies?
Yes. Our US entity is headquartered in Princeton, New Jersey, with delivery centres in Ahmedabad, India, and clients in 35 countries.
How do you protect our data?
Cygnet.One is SOC 2 Type II compliant and CMMI Level 5. Our GRC, IAM, HIPAA and PCI DSS teams help design access controls and compliance requirements into the solution.
Ready to put your data to work?
Send us your use case and we will map out a practical machine learning approach, the team you need and a quote.
- ML models built with Amazon SageMaker and Bedrock
- From data pipelines to MLOps and live model support
- AWS Advanced Tier Partner, CMMI Level 5, SOC 2 Type II
Prefer to talk? Call +91-63589-76018