Enterprise AI/ML Engineering
Custom Machine Learning Development Services
Cybic engineers build, fine-tune and deploy ML models that run inside your real systems, with security, access controls and audit trails from day one.
- Custom models, domain LLMs, computer vision and NLP
- MLOps and CI/CD deployment, not proof-of-concept demos
- Runs on AWS, Azure, Google Cloud, Snowflake or on-prem
Trusted by enterprise teams including SWFI, GreatX, Land Global and Fort Global.
Scope your ML project
Tell us about your data and the outcome you want. An engineer will review it and come back with next steps.
Why enterprises pick Cybic for custom ML
Models built for your data
We build and fine-tune models around your content, workflows and domain, not a generic template.
Engineering-led delivery
Experienced engineers architect, build and integrate directly. Less translation, fewer handoffs.
Deployed, not just trained
MLOps and CI/CD pipelines get models into production and keep them monitored and updated.
Governed by design
RBAC, encryption in transit and at rest, and audit trails are part of the architecture.
Your data stays yours
We do not train models on your proprietary enterprise data for any third party.
Infrastructure-agnostic
Cloud, hybrid or on-prem across AWS, Azure, Google Cloud, Snowflake and Databricks.
What our custom ML development covers
Cybic builds and fine-tunes domain-specific LLMs, predictive models, computer vision systems and NLP pipelines using transformer architecture, MLOps and CI/CD-based model deployment. The work is tailored to legal, healthcare, finance and other enterprise contexts.
We also handle the parts around the model: AI-ready data pipelines, integration with your ERP, CRM and data lake, and the governance controls your compliance team will ask about.
- Domain-specific LLM creation and LLM fine-tuning
- Predictive and forecasting models for operations and demand
- Computer vision systems for inspection, monitoring and imaging
- NLP pipelines for documents, email and unstructured text
- MLOps, CI/CD model deployment and lifecycle management
- Real-time ETL/ELT pipelines to feed models clean data
- API development and ERP, CRM and data lake integration
- Compliance alignment for GDPR, HIPAA, CCPA, SOC 2 and ISO
Built for enterprise environments
“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 your use case, data sources, systems and compliance needs.
Solution scope
Our engineers outline the model approach, architecture, integration points and delivery plan.
Build and deploy
We build, test and deploy the models into your environment, then support them in production.
Frequently asked questions
How is pricing decided?
Pricing depends on scope: the model type, data readiness, integrations and deployment environment. We review those in a short discovery call and then give you a written scope and quote.
Do you work with our existing cloud and data stack?
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. Strict data governance applies, including no model training on your proprietary enterprise data for third-party use.
Can you deploy models we already built?
Yes. We provide MLOps and CI/CD model deployment, plus lifecycle management and monitoring for models already in progress.
Do you handle compliance requirements?
Governance is embedded at the architecture level with RBAC, encryption, auditability and alignment to GDPR, HIPAA, CCPA, SOC 2 and ISO standards.
Who do you serve?
We serve enterprise and mid-market organizations across the United States, including oil and gas, manufacturing, healthcare, retail, public sector and BFSI.
Get a scope for your custom ML build
Send us your use case and data details. An engineer will review it and lay out the model approach, architecture and delivery plan.
- Custom models, domain LLMs, computer vision and NLP
- MLOps and CI/CD deployment, not proof-of-concept demos
- Runs on AWS, Azure, Google Cloud, Snowflake or on-prem