Generative AI Copilots
Custom assistants for support, sales, documentation, and internal operations.
- Domain-specific chat assistants
- Knowledge-grounded responses
- Secure role-based access
New Capability Layer
AI services for automation, insight, and growth
Add production-ready generative and agentic AI on top of your existing web, app, CRM, and industrial automation systems with measurable outcomes.
AI Service Portfolio
From strategy to production deployment
Agentic AI & Workflow Automation
Agentic workflows and autonomous AI agents that reduce manual effort across business processes.
- Multi-step autonomous AI agents
- Data extraction and classification
- Smart routing and approvals
- Human-in-the-loop controls
Predictive Analytics
Forecasting and anomaly detection for proactive business decisions.
- Demand and capacity forecasting
- Risk and churn prediction
- KPI-focused model monitoring
Computer Vision
Visual intelligence for monitoring, compliance, and quality control.
- Object and event detection
- Video analytics dashboards
- Alerting and incident workflows
NLP and Knowledge Search
Semantic search and document intelligence for faster information retrieval.
- Enterprise search experiences
- Document summarization
- Intent and sentiment insights
MLOps and Governance
Production reliability, model lifecycle management, and AI safety controls.
- Model deployment pipelines
- Observability and drift checks
- Security and compliance policies
Adoption Roadmap
AI implementation in 4 practical phases
01
Use-Case Discovery
Identify business-ready AI opportunities with clear ROI targets.
02
Data and Model Design
Prepare data flows, select model strategy, and define evaluation metrics.
03
Pilot and Integration
Launch targeted pilots integrated with your existing systems.
04
Scale and Govern
Expand adoption with monitoring, governance, and continuous optimization.
AI FAQ
Build AI with practical guardrails
Can AI connect to our existing systems?
Yes. AI workflows can connect with portals, CRMs, documents, dashboards, and internal APIs with controlled access.
Can we start without perfect data?
Yes. Discovery can identify what is usable now, what needs cleanup, and which pilot creates value fastest.
How do you reduce AI risk?
Cypher uses evaluation, role-based access, human review, monitoring, and governance checks for production workflows.
Do you build agentic AI systems and autonomous AI agents?
Yes. Cypher designs agentic AI workflows that can plan, act, and hand off to a human at defined checkpoints, connected to your existing CRM, web, and industrial systems.
What is the difference between an AI copilot and an AI agent?
A copilot assists a person inside their existing workflow. An agentic AI system can plan and complete multi-step tasks on its own within the guardrails you define.
How do you handle AI governance and MLOps?
Every production AI workflow goes through model evaluation, access controls, monitoring, and governance checks under Cypher's MLOps practice before and after launch.
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