Keviq ERP
Custom AI-supported operations for modern enterprises.
Intelligence,made useful.
Keviq Labs builds a connected portfolio of AI products for the real world—from enterprise operations and software engineering to local infrastructure and education.
AI that understands context. Built for how work actually happens.
Keviq Code
An IDE where coding agents and developers work as one.
Keviq Core
Local fine-tuning and training for right-sized infrastructure.
Keviq Bot
Education through a connected app and physical robot.
Keviq Labs
Custom AI applications shaped around enterprise needs.
01 / CONTEXTUnderstand the domain before automating the work.
05 / EVOLVEResearch becomes systems. Systems become advantage.
Enterprise operations↗Agentic code↗Local intelligence↗Embodied learning↗Custom AI↗Enterprise operations↗Agentic code↗Local intelligence↗Embodied learning↗Custom AI↗
Five ideas.
One system.
Five focused products address different layers of the same problem: turning capable models into dependable systems people can actually use. Each product stands alone; together they compound.
Enterprise systems
Keviq ERP
Custom operating systems for businesses, with AI woven into the workflows that matter.
Designed around each organization’s operating model—from core records and approvals to reporting and decision support. AI assists people inside governed workflows instead of sitting in a separate chat window.
- Workflow and data models
- AI-assisted operations
- Integration with existing systems
Developer tools
Keviq Code
An agent-native coding workspace for safe, observable software development.
A workspace for directing coding agents around a real project. Developers can observe actions, approve sensitive steps, review changes, run tests, and keep the path from prompt to commit understandable.
- Observable agent work
- Workspace-scoped approvals
- Review, test, and commit flow
Model infrastructure
Keviq Core
Private local fine-tuning and training that respects modest infrastructure and real budgets.
A local-first path for organizations that need model adaptation without hyperscale infrastructure. Core brings dataset preparation, fine-tuning, evaluation, and deployment into a practical private environment.
- Private dataset preparation
- Fine-tuning and evaluation
- Right-sized local deployment
Learning and robotics
Keviq Bot
A tactile learning ecosystem: intelligent software meets a physical educational robot.
A learning ecosystem where software, conversation, and physical interaction reinforce one another. The connected app guides activities while the robot makes abstract ideas tangible and programmable.
- Connected learning app
- Physical robot interaction
- Programmable lessons and activities
Applied AI studio
Keviq Labs
Strategy, design, and engineering for AI applications built around your enterprise.
An end-to-end product and engineering service for organizations with a clear AI opportunity but no reliable implementation path. We move from workflow discovery to prototype, integration, evaluation, and handover.
- Opportunity and workflow discovery
- Prototype-to-production engineering
- Integration, evaluation, and handover
PORTFOLIO ARCHITECTURE / 01—03
From private intelligence
to deployed products.
Our portfolio is deliberately connected. Keviq Core develops the intelligence layer; ERP, Code, and Bot turn it into products; Keviq Labs adapts and integrates those capabilities for each organization.
Intelligence layer
Keviq Core
Prepare data, adapt models, evaluate behavior, and run private intelligence on infrastructure that fits the organization.
Product layer
Keviq ERP · Code · Bot
Turn intelligence into tools for operations, software development, and learning—each designed around a specific human workflow.
Delivery layer
Keviq Labs
Discover the opportunity, assemble the right capabilities, integrate with existing systems, and carry the product into sustained use.
Useful AI is built
with the workflow.
We begin with the operating context, define a result worth improving, and build the smallest dependable system that can reach real users. Deployment is the start of learning—not the end of the project.
Understand the context
Map the people, decisions, data, constraints, and failure modes around the work before proposing automation.
Define useful change
Choose a narrow outcome that matters, establish how it will be evaluated, and make risk visible from the start.
Build the dependable path
Combine product design, software, models, and approvals into the smallest system that can support real use.
Deploy, observe, improve
Release with safeguards, observe how the system performs in context, and improve it with evidence rather than assumption.
Our thesis for
patient capital.
The next durable AI companies will not sell intelligence in isolation. They will embed it into workflows, infrastructure, and human capability.
Context is the moat
Deep domain understanding turns general intelligence into defensible products.
Vertical by design
We go deep into workflows where intelligence can compound outcomes.
Systems that ship
Reliability, privacy, and integration matter as much as model capability.
A connected portfolio
Infrastructure, developer tools, enterprise software, and education reinforce one another.
One company.
A connected ambition.
Keviq Labs is building the product and infrastructure layers required for practical AI adoption. We combine product strategy, software engineering, model adaptation, and physical computing—so intelligence can move from a promising capability into a durable part of how an organization works.
Ways to work with us
We are open to focused collaborations where there is a real operational problem, committed domain expertise, and a path from prototype to sustained use.
Enterprises
For teams modernizing core operations, introducing AI into governed workflows, or building a custom application around proprietary knowledge.
Research & education
For institutions exploring local model training, human–AI learning, educational robotics, or applied research with a path to deployment.
Investors & strategic partners
For partners interested in a long-horizon portfolio spanning AI infrastructure, developer tools, enterprise systems, and embodied learning.
Build what’s next.
Make it useful.
Tell us what needs to work better. We welcome enterprise partnerships, research and education collaborations, and conversations with investors who share a long-term view of applied AI.
Start a conversation