Enterprise AI & Data Engineering
Predictive Analytics Consulting That Ships Working Models
Cybic builds predictive models, AI-ready data pipelines and dashboards that turn your history into forecasts your teams can act on.
- Custom predictive models built on your own enterprise data
- Forecasts delivered in Power BI, Tableau, Looker or Domo
- Governance, RBAC and encryption built in from day one
Enterprise work across oil & gas, manufacturing, healthcare, retail and public sector.
Talk to an AI engineer
Tell us what you want to predict. We will come back with a scoped approach and pricing.
Why enterprises pick Cybic for predictive analytics
Engineering-led, not slideware
Experienced engineers architect, build and integrate the models directly. Every engagement is built around delivering working systems.
Models fed by clean, real-time data
We build the ETL/ELT and streaming pipelines behind the forecast, so your models run on current, AI-ready data.
Governed by design
Role-based access, encryption in transit and at rest, and full auditability of AI-driven actions are part of the architecture.
Works with your stack
Infrastructure-agnostic delivery across AWS, Azure, Google Cloud, Snowflake and Databricks, in cloud, hybrid or on-prem setups.
Insight your teams will use
Predictions land in AI-enabled dashboards with real-time KPI tracking, natural language querying and prescriptive reporting.
Your data stays yours
Strict data governance with no model training on your proprietary enterprise data.
What predictive analytics consulting covers
We start with the decision you need to improve, then work back to the data. That means auditing your data landscape, closing gaps in quality and ownership, and building pipelines that feed models reliably.
From there our team builds and tunes the predictive models, deploys them with MLOps and CI/CD, and connects the output to the dashboards and systems your teams already use.
- Data landscape audits, gap analysis and data readiness assessment
- Predictive model development, including domain-specific models for legal, healthcare and finance
- Real-time ETL/ELT and streaming pipelines for low-latency, AI-ready data
- MLOps and CI/CD model deployment, monitoring and lifecycle management
- Data warehouse modernization on Snowflake, Databricks and Azure
- BI and visualization in Power BI, Tableau, Looker Studio and Domo
- ERP, CRM, data lake and API integration so predictions reach operations
- AI governance frameworks aligned to GDPR, HIPAA, CCPA, SOC 2 and ISO
Trusted by enterprise teams
“Cybic became a true technology partner for SWFI, managing our entire digital ecosystem with precision and agility. Their end-to-end support—from full-cycle development and custom CRM builds to platform revamps and seamless multi-app deployments—significantly improved our site performance, reduced turnaround times, and ensured consistent scalability across all platform”
“Cybic transformed our Digital Tokenization platform into a high-performance application. The speed and usability gains we've seen post-revamp have elevated both our team's efficiency and our users' satisfaction.”
What happens after you submit
Discovery call
We talk through what you want to forecast, the data you hold today and the systems it lives in.
Scoped approach
You get a clear plan: data gaps to close, models to build, integrations needed and how success is measured.
Build and deploy
Our engineers build the pipelines and models, deploy them in your environment and hand over working dashboards.
Frequently asked questions
How is predictive analytics consulting priced?
Pricing depends on your data maturity, the number of models, integrations and whether ongoing support is needed. Tell us your use case and we will scope it and send pricing.
What if our data is messy or siloed?
That is common. We run a data landscape audit and gap analysis, then build the pipelines, warehouse modernization and governance needed to make your data model-ready.
Do you work with our cloud platform?
Yes. Delivery is infrastructure-agnostic across AWS, Azure, Google Cloud, Snowflake and Databricks, and we support cloud, hybrid and on-prem environments.
Will our proprietary data be used to train models for others?
No. We apply strict data governance, including no model training on your proprietary enterprise data, plus RBAC, encryption and audit trails.
Can we see the forecasts in our existing BI tools?
Yes. We build AI-enabled dashboards and self-service BI in Power BI, Tableau, Looker Studio and Domo with real-time KPI tracking and predictive reporting.
Do you serve companies outside the US?
We focus on enterprise clients in the United States, nationwide, across cloud, hybrid and on-prem environments.
Turn your data into forecasts you can act on
Share your use case and current data stack. An engineer will review it and come back with a scoped approach and pricing.
- Custom predictive models built on your own enterprise data
- Forecasts delivered in Power BI, Tableau, Looker or Domo
- Governance, RBAC and encryption built in from day one