Applied AI products and custom automation
Zonno builds practical AI systems for real business workflows.
We combine LLMs, RAG, agentic workflows, cloud or local deployment, and software engineering discipline to deliver AI products that teams can actually use.
Private AI
Cloud, hybrid, or local LLM setups planned around data sensitivity, governance, cost, and operational control.
Custom Workflows
AI applications designed around your process, users, data sources, and internal systems instead of generic demos.
Agentic Systems
Multi-step task automation with human approval points, traceability, integrations, and clear operating boundaries.
Product Engineering
From prototypes to production-grade software, Zonno keeps analysis, engineering quality, and documentation visible.
Zonno Products
Our active product family brings AI into productivity, education, publishing, operations, automotive communities, and enterprise knowledge work.
ZonnoOffice
AI-supported productivity for meeting notes, audio records, links, summaries, documents, and corporate content generation.
Open productZonnoUsta
An automotive-focused digital expert identity and community solution for knowledge sharing and user interaction.
Open productCollege-Guru
A digital advisor platform that helps students navigate education, application processes, and faster access to reliable guidance.
Open productHumexis Chat
A customizable enterprise conversation interface that accelerates support, operations, and internal knowledge access.
Open detailsTalker
A voice-first AI product approach for natural, fast, speech-based interaction in service, support, and task workflows.
Open detailsZonno Agent
An agent-based product family for autonomous corporate tasks connected to data sources, tools, and business workflows.
Open detailsZonno Receptionist
An AI receptionist solution for first contact, routing, visitor flows, call handling, and front-desk process support.
Tesla24.Net
A digital platform direction for electric mobility and automotive information, service, and community experiences.
Open productGazete
An AI-supported digital publishing project for collecting, structuring, and presenting news-style articles and research-driven content.
Open productAbout Zonno
Zonno is the applied AI product and engineering line shaped by Humexis experience in analysis, software quality, and user-centered delivery.
We start with the business context, then choose the right AI architecture.
AI transformation usually fails when the project starts with a tool instead of a real workflow. We clarify the problem first.
We analyze users, processes, data, and constraints together.
Each organization has its own language, documents, rules, approvals, and systems. Zonno frames the AI opportunity inside that operational reality.
We validate early with scenarios and working prototypes.
Before investing in a large build, we make candidate workflows visible with paper flows, demos, proof of concept work, or a pilot.
Production AI requires more than prompts. It needs reliable software, data control, monitoring, documentation, and maintainable architecture.
We build custom applications when ready-made tools are not enough.
Dashboards, knowledge systems, content tools, automation layers, and productized AI systems are designed with the delivery model in mind.
We keep quality and documentation visible.
Architecture decisions, data flows, integration points, and deployment assumptions are documented so the system remains sustainable after launch.
The value of AI appears when it connects to the tools and decisions teams already use.
We integrate with internal systems and controlled data sources.
CRM, ERP, document repositories, email, reporting tools, websites, and departmental systems can become part of a governed AI workflow.
We plan cloud, hybrid, and local deployment options.
Security, cost, latency, model capability, and management effort are evaluated together instead of being treated as afterthoughts.
Have a workflow that should become faster, smarter, or autonomous?
Zonno can help you identify the right AI use case, build a pilot, connect the data, and move the solution into a product or production workflow.
Start a discussion
AI Delivery Approach
From first analysis to production, we keep the project measurable, secure, and connected to actual work.
Discover the highest-value AI use cases
We start by separating attractive ideas from workflows that can create measurable value quickly.
- Map business goals, user groups, repetitive work, and decision points.
- Prioritize quick wins and define pilot success criteria.
- Identify the data and access constraints that shape the solution.
Build controlled LLM and RAG knowledge layers
Documents, procedures, records, and internal knowledge bases can feed AI systems with permission-aware access and traceable answers.
- Retrieval augmented generation for enterprise documents.
- Summarization, Q&A, content generation, and document support workflows.
- Cloud, private, hybrid, or local model options.
Create agentic workflows with guardrails
Agents can coordinate multi-step tasks, but they need limits, observability, and approval points to be useful inside organizations.
- Tool-connected task chains for operations, support, content, and reporting.
- Human approval where risk, cost, or policy requires it.
- Logs and controls so automation remains understandable.
Connect AI to the systems teams already use
Useful AI should not live in isolation. We plan integrations with existing business systems and data sources.
- CRM, ERP, reporting, email, document repositories, and websites.
- Workflow handoffs between users, departments, and AI tools.
- APIs and dashboards for operational visibility.
Design around data security from the beginning
Model choice, hosting, permissions, auditability, and retention rules are part of the architecture, not a late-stage patch.
- Private data handling and permission-aware knowledge access.
- Deployment choices aligned with compliance and cost constraints.
- Documentation for handover and long-term operation.
Move from pilot to production in controlled steps
We use pilots to validate the workflow, then expand carefully with measurement, feedback, and maintainable engineering practices.
- Proof of concept, pilot, production, and productization as distinct phases.
- Feedback loops with users and process owners.
- Scaling plans that account for adoption, support, and system ownership.
Services
Consulting, custom development, integration, and product engineering for organizations adopting AI.
AI Transformation Consulting
Roadmaps, prioritization, feasibility reviews, and use-case definition for AI and automation initiatives.
Custom AI Applications
Decision support, knowledge access, content processing, productivity tools, and autonomous process applications.
Software Projects
Web systems, dashboards, data-driven operations tools, and product-focused AI software built for handover.
LLM, RAG and Data Security
Secure knowledge systems over corporate documents, permissions, model selection, and private deployment options.
Workflow Automation
Automation projects that reduce repetitive work, connect departments, and create measurable productivity gains.
Analysis and Design
Scenario development, user research, prototyping, and interaction design informed by Humexis HCI experience.
Engagement Models
Choose the collaboration model that fits your current AI maturity and delivery needs.
Consulting
Plan and guide
- Needs and opportunity analysis
- AI roadmap and architecture guidance
- Support for internal development teams
- Periodic review and validation meetings
Product
Use a Zonno solution
- ZonnoOffice and other product families
- Configuration and onboarding support
- Faster deployment for common scenarios
- Service plans and product evolution
Project
Build together
- Custom software and AI development
- RAG, agents, integrations, and dashboards
- Pilot-to-production delivery
- Documentation and handover
Team
Research, software engineering, analysis, and delivery experience for applied AI projects.
Doç. Dr. Mehmet Göktürk
Founder, R&D and Software Engineering
Mehmet Efe Göktürk
Software Development
Ayşe Elif Büyük
Software and Hardware Development
Kemal Sidar
Strategy and Design Consulting
Sedef Köroğlu
Software DevelopmentContact
Our offices are located at GTU Technopark in Turkey and Keyport, New Jersey in the United States.
Get in touch
Tell us which workflow, product idea, or AI transformation problem you want to explore.
Location (US)
54 Laurelhurst Dr, Keyport, NJ 07735
Location (TR)
GTU Teknopark, Gebze, TR 41400
gokturk(@)humexis.com
Call
+1 732 201 8441
+90 533 425 8395