Zyvora's GenAI COEx · AI-first practice
The co-innovation surface we ship on.
13 capabilities across four practices. Intelligence to plug GenAI into your product, integration to run it in production, trust to keep it accountable, and experience so teams adopt it.
13+
AI capabilities
Fixed, pod, advisory
Engagement
Fasten & production-ready delivery
Typical delivery
Capabilities
Thirteen ways we ship intelligent software.
Organized by practice with clear outcomes on every card. GenAI COEx is Zyvora's dedicated lane for generative AI, agents, and the engineering that makes them production-ready.
GenAI COEx capability practices
01 · 5 capabilities
Intelligence & Models
Where LLMs meet production: Strategy, Agentic Workflow Automation, RAG or SLM's and Models that earn their keep.
01
AI Strategy & Consulting
Roadmaps that ship, not slide decks
We simplify AI adoption with clear, future-ready roadmaps aligned to revenue, risk, and your existing stack.
Claude, OpenAI, Azure AI
02
Conversational AI & Generative Solutions
Bots that convert, not just chat
Smarter chatbots and creative automation that engage customers across support, sales, and onboarding.
OpenAI, Intercom, HubSpot
03
Machine Learning & Predictive Analytics
Models that learn your business
Intelligent models that learn, adapt, and forecast outcomes from demand to churn to operations.
Python, TensorFlow, scikit-learn
04
Computer Vision & NLP
See and understand at scale
Smarter automation through image recognition, document understanding, and language pipelines.
OpenCV, Yolo, Hugging Face
05
Recommendation Systems & RPA with AI
Personalized paths, fewer manual steps
Personalized experiences and AI-assisted workflows that boost growth without bloating headcount.
RPA, ML pipelines, CRM hooks
02 · 4 capabilities
Build & Integrate
Pipelines, cloud, and enterprise surfaces: the full stack your AI runs on.
06
Data Engineering & AI Pipelines
Raw data to governed insight
Turning raw data into clarity, insights, and action with reliable ingestion, labeling, and feature stores.
dbt, Airflow, Snowflake
07
Cloud AI Integration
Deploy where you already live
Deploying and scaling AI seamlessly across AWS, Azure, and GCP with observability baked in.
AWS Bedrock, Azure OpenAI, Vertex
08
Enterprise Applications & Performance Engineering
Custom apps built for load
Custom apps and optimized systems that drive efficiency, uptime, and speed under real traffic.
Next.js, Node, Kubernetes
09
Mobile & Web Engineering
AI-native product surfaces
Seamless digital experiences built to perform and scale, with intelligence embedded in the UI.
React Native, Next.js, Flutter
03 · 2 capabilities
Trust & Governance
Security, ethics, and guardrails so AI stays accountable in production.
10
AI Cybersecurity & Trust
Protection that scales with adoption
Intelligent protection that keeps your business secure with threat detection, access control, and model hardening.
Zero-trust, SOC2, red-team reviews
11
AI Ethics & Governance Consulting
Responsible AI by design
Responsible, transparent, and fair AI adoption with policies, review boards, and audit-ready documentation.
Policy, bias testing, compliance
04 · 2 capabilities
Experience & Transformation
Design and change management so teams actually adopt what we build.
12
AI Driven UI/UX Design
Interfaces people trust
Interfaces that feel natural, intuitive, and built for people, with AI-accelerated iteration and human taste.
Figma, design systems, research
13
Digital Transformation & Innovation
Change with confidence
Guiding your business through AI-driven change with training, playbooks, and measurable adoption milestones.
Change management, workshops, OKRs
How to choose
Which capabilities do you actually need?
A plain-language matrix. Find the row that matches your situation; the right column is where we start before discovery begins.
| If you need to | Core capabilities | Why this combination |
|---|---|---|
| Validate an idea with a real AI product | AI Strategy, Conversational AI, MVP engineering | Clickable flows early with a clear path to production. |
| Add GenAI to an existing app | RAG pipelines, Conversational AI, cloud integration | Grounded answers, tool use, and safe rollout on your stack. |
| Automate repetitive operations work | RPA with AI, data pipelines, integrations | Event-driven workflows with monitoring and human handoff. |
| Launch with trust and compliance | Ethics and governance, cybersecurity, UX design | Policies, testing, and interfaces stakeholders can sign off on. |
How we pair
A real build rarely uses one capability.
Pairing 01
Strategy + Conversational AI
A clear roadmap plus production chatbots embedded in your CRM and support stack.
Faster adoption
Pairing 02
Data pipelines + Cloud AI
Governed data flowing into models deployed on the cloud you already operate.
Scalable intelligence
Pairing 03
UX design + Digital transformation
Human-centered interfaces plus change programs so teams use AI daily, not once.
Lasting impact
Pairing 04
Cybersecurity + Ethics and governance
Security hardening paired with responsible AI policies your legal and ops teams need.
Audit-ready AI
Engagement models
Three ways to work with us.
Engagement 01
Fixed-scope build
Cadence: Project-based timeline
Best for: MVPs, pilots, well-defined AI features
Defined spec, timeline, and price. Best when the outcome is clear before sprint one.
Engagement 02
Embedded pod
Cadence: Monthly
Best for: Growing products, dedicated capacity
Engineers and designers join your team for ongoing delivery and shared standups.
Engagement 03
Advisory and AI strategy
Cadence: Weekly
Best for: Teams hiring their first AI lead
Architecture, vendor choice, and agent design on retainer with practical recommendations.
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