Cepoch

Founded in 2008, Cepoch has more than 20 years of IT services experience, a team of more than 90 professionals, over 100 clients, and more than 300 delivered projects. Its focus includes digital transformation and mobile AI to enhance user experiences.

Cepoch emphasizes long-term partnerships, customer satisfaction, quality, flexibility, collaboration, and solutions that create measurable business value.

Development Methodologies

Cepoch adapts its software development methodology to the project's goals, timeline, budget, and requirements:

• Agile: Flexible, iterative delivery with continuous feedback.
• Scrum: Time-boxed sprints for complex projects requiring frequent delivery and collaboration.
• Waterfall: A structured, sequential approach for stable requirements and minimal change.

Selected Success Stories

• A mobile application with a backend for an EMEA logistics provider supported real-time operations for 2,000 trucks, increasing utilization and reducing delivery times.
• A restaurant reservation mobile and web application reached 1 million downloads.
• A mobile plant maintenance application connected a remote workforce to SAP and delivered 2× ROI.
• An enterprise logistics web application improved transportation management and visibility.
• An RPA solution for a major food processing company generated $10M in productivity gains, delivered 3× ROI, and earned a CEO Award.
• A real-time operations dashboard using IoT and a data lake achieved 15% operational efficiency for a food processing company.

Services include:

• Secure SDLC and architecture: Security integrated into design and development.
• Application and cloud security: Protection for applications and cloud systems.
• Data protection and privacy: Encryption and privacy practices aligned with regulations such as GDPR.
• AI security and governance: Security and vulnerability management for AI systems.
• Continuous security monitoring and incident response: 24/7 monitoring and rapid response to threats.
• Security Operations Center: 24/7 threat monitoring, alert triage, and incident response delivered as a subscription.
• Compliance and risk management: Support for regulatory alignment, security risks, documentation, and operating practices.

Cybersecurity Process

1. Assessment and planning: Assess systems, identify vulnerabilities, and create a security strategy.
2. Secure design and implementation: Design and implement secure systems.
3. Continuous monitoring and testing: Monitor and test systems to identify issues early.
4. Incident response and support: Contain threats and resolve security issues.
5. Training and maintenance: Keep systems and security practices up to date.

Cepoch supports alignment with frameworks and obligations including SOC 2, NIST, GDPR, and industry-specific requirements. Its AI-assisted security operations can correlate identity, endpoint, email, and cloud signals to automate investigation, root cause analysis, and response workflows.

• Email: [email protected]
• Phone: 312-900-6108
• Business hours: Monday–Friday, 8 AM–5 PM CT

Delivery Model

Cepoch's structured delivery model covers planning through implementation and transition:

1. UI/UX discovery and planning — Week 1: User research, UX wireframes, visual direction, requirements analysis, and solution architecture.
2. Design-led development — Weeks 2–3: UI implementation alongside backend and AI development, with continuous testing and iteration.
3. Integration and quality assurance — Week 4: End-to-end integration and performance, security, and usability testing.
4. Deployment and handover — End of Week 4: Cloud deployment, documentation, training, and monitoring setup.

Cepoch states that focused MVPs can typically launch in 2–4 weeks when scope is clear and data is ready. AI MVP costs are stated as most often ranging from $2K–$10K, depending on complexity, integrations, and data readiness.

Core capabilities include:

• Autonomous AI agents: Agents that plan, execute, and optimize workflows across tools, data, and systems.
• AI automation and workflows: AI-driven process automation that reduces manual effort and improves efficiency.
• Generative AI: Chatbots and AI copilots for customer support, internal teams, and operations.
• AI integration and RAG: Retrieval-Augmented Generation systems that connect language models with private business data.
• Decision support and analytics: AI models that analyze data, identify patterns, and support faster business decisions.

Cepoch also follows practices for AI governance, data privacy, and responsible AI development. Security capabilities include role-based access control, data encryption, and secure API integrations.

Example AI Applications

Cepoch has delivered or described solutions including autonomous SOC analysis, marketing analytics copilots, demand forecasting, roofing intelligence, fintech document intelligence, ingredient and product assistance, healthcare assistance, fertility support, athlete wellness, military compliance, and artifact recognition.

Its AI technology stack includes OpenAI, Azure OpenAI, LangChain, LlamaIndex, Claude Cowork, Pinecone, Weaviate, ChromaDB, Python, PyTorch, TensorFlow, AWS, Azure, Google Cloud, Docker, and Kubernetes.

Capabilities include:

• Cloud architecture and infrastructure on AWS, Microsoft Azure, and Google Cloud.
• Cloud-native application development.
• CI/CD pipeline setup for automated build, test, and deployment processes.
• Cloud migration from on-premises environments or between cloud platforms.
• DevOps automation using tools such as Terraform, Ansible, and Kubernetes.
• Automated infrastructure provisioning through Infrastructure as Code.
• Cost optimization, resource right-sizing, serverless options, and automatic scaling.
• Cloud security, encryption, and compliance measures.

Cloud and DevOps Technology

The technology stack includes AWS, Microsoft Azure, Google Cloud Platform, Docker, Kubernetes (EKS), Jenkins, Ansible, Terraform, GitLab CI, CircleCI, GitHub Actions, Prometheus, Grafana, ELK Stack, Datadog, Chef, Puppet, IAM, SSL/TLS, WAF, and encryption.

Case Study Outcomes

In one secure cloud modernization project, Cepoch migrated core applications and data to AWS, strengthened governance and access controls, and established a secure cloud foundation. The nine-month initiative reduced IT infrastructure costs by 40%, improved cloud-based collaboration, enhanced security and compliance, and increased uptime.

For a customer data platform, Cepoch co-managed AWS IT services using EC2, Redshift, Python, and DynamoDB. Resources were onboarded in two weeks, the platform scaled to three times the client volume, and costs were reduced by 50%.

Services include:

• Dashboards and reporting: Custom dashboards and interactive reporting for visualizing key metrics and tracking performance.
• Data warehousing: Secure, scalable warehouses that integrate data from multiple sources for analysis.
• Analytics and insights: Advanced analytics to uncover trends, predict outcomes, and optimize operations.
• Data lakes and lakehouses: Data engineering solutions that organize raw and structured data for flexible, high-performance analysis.

Technology Stack

Cepoch's BI and data engineering stack includes Snowflake, Databricks, BigQuery, Redshift, Apache Spark, Airflow, dbt, Fivetran, Kafka, Tableau, Looker, and Power BI.

Selected Case Studies

• An AI-powered marketing analytics copilot used conversational analytics, RAG, agentic workflows, and enterprise data connectors to reduce insight retrieval from hours to seconds and reduce manual reporting requests by 70%.
• A cloud cost and performance modernization project addressed approximately $500K in annual AWS costs, slow performance, and technical debt by optimizing infrastructure, modernizing the codebase, and improving performance without disrupting operations.