3KALO Research & Engineering

Intelligence, engineered for the real world.

3KALO is a U.S. AI research company building intelligent systems that perceive, reason and act, and taking each breakthrough from experiment to production.

Explore our research Inside the Living Lab
Our mission

Turn frontier AI into systems people can rely on, in every factory, every business and every home.

The next decade of AI will be decided outside the lab. Models are getting more capable every month. The harder problem is making them dependable in messy, changing, physical environments. That is the problem 3KALO was founded to solve.

Discover

Scientific research

We pursue open questions in machine learning, robotics and perception through controlled experiments and reproducible methods.

Engineer

Production-grade systems

Promising results become software, hardware and platforms built for reliability, safety and scale, by the same team that did the research.

Deploy

Measured impact

We deploy into live operations and consumer products, track outcomes against clear targets and feed every lesson back into research.

Learn

Continuous learning

Every deployment produces new data and new questions. That feedback loop makes each generation of our systems smarter than the last.

Research infrastructure

Data engine

Continuous capture, labeling and versioning of multimodal production data: images, sensor streams, orders and events.

Evaluation harness

Automated test suites that score every model on accuracy, robustness, latency and cost before it is released.

Simulation

Physics and process simulation that trains and stress-tests systems before they touch a live line.

Edge-to-cloud deployment

Models served on factory-floor hardware, with cloud training, monitoring and one-click rollback.

Research domains

Where software intelligence meets the physical world.

Our research is organized around four domains. Each is defined by the scientific questions we are trying to answer, and each feeds the others.

agent.run / plan → act → verify

Language-model agents that break down goals, call tools, check their own work and take action inside real business systems, with the reliability and audit trail that serious operations demand.

LLM agentsTool usePlanningEvaluationHuman oversight
Open questions
  • How should an agent recover when a tool returns something unexpected?
  • When should an agent act on its own, and when should it ask a person?
  • How do we prove reliability across thousands of runs, not a few demos?
AI in everyday life

From the lab to the things people use every day.

Research only matters when it changes how things are made, delivered and experienced. These are the areas where our work reaches people directly.

Smart manufacturing

Production lines that inspect their own output, predict bottlenecks before they happen and re-plan automatically when orders change. Higher quality, less waste, faster delivery.

Vision QAPredictive schedulingCobots

Personalized products

Generative AI that helps anyone design a one-of-a-kind product in minutes, and production systems that make each one as efficiently as mass-produced goods.

Generative designMass customization

Commerce & customer experience

AI assistants that answer questions, resolve orders and recommend the right product instantly, while staff focus on what truly needs a human touch.

AI agentsRecommendations

Logistics & delivery

Routing, packing and carrier selection optimized in real time, so orders arrive faster with less packaging and fewer miles.

Route optimizationSmart packing

Home & living

AI that helps people visualize, choose and personalize furniture and decor for their own space before anything is made or shipped.

Visual AI3D preview

Food & service businesses

Demand forecasting and automated supply planning that help cafés, restaurants and small businesses order the right amount and brand every touchpoint.

Demand forecastingSupply automation

Safer, better workplaces

Vision systems that flag hazards before incidents happen, and robots that take on heavy, repetitive tasks so people can focus on skilled work.

Safety visionErgonomics

Energy & sustainability

AI that cuts material waste, energy use and excess inventory across production and delivery, so growth does not have to mean a bigger footprint.

Waste reductionEnergy optimization

Creative & content

Generative AI that produces product imagery, listings and campaign content in every language, keeping brand quality consistent across thousands of products.

Image generationMultilingual content
The 3KALO Living Lab

A working factory is our most powerful scientific instrument.

Our research facility sits inside an active production and fulfillment operation. Every model is tested against live orders, production machines and shipping deadlines, while a live process model mirrors every station on the line.

Digital twin / live production environmentAI core connected to every production stage
3KALO AI core Order intakeagent triage Designgenerative AI Productionsmart scheduling Vision QAdefect detection Packrobot picking Shiproute optimization

Live data

Orders, machine signals and quality records from daily operations, not synthetic stand-ins.

Real constraints

Shipping cutoffs, seasonal peaks and budgets that expose weak ideas quickly.

Fast iteration

From a result on screen to a test on the floor within days, not quarters.

People in the loop

Operators give direct feedback on every system placed in front of them.

Our scientific method, from question to deployment

  1. Frame the question

    Start from a measurable problem and define success before writing any code.

  2. Model and simulate

    Build the smallest credible system using simulation and historical data.

  3. Test on the floor

    Shadow mode, then supervised, then live, with operators able to override at every stage.

  4. Measure and scale

    Compare against the baseline, then scale, rework or retire it, and publish where the work advances the field.

Flagship programs

Multi-year programs with measurable goals.

Programs are where our research domains come together. Each has a defined objective and the specific metrics we hold ourselves to.

Program A

Exception-Handling Agent

An AI agent that monitors orders, capacity and exceptions around the clock, resolves routine issues end to end and escalates the rest to people with full context.

Measured by
  • Exceptions resolved without human handling
  • Time to resolution
  • Escalation accuracy
Program B

Adaptive Vision Inspection

Quality inspection that learns a new product or defect type from a handful of examples and keeps adapting as materials and conditions change.

Measured by
  • Defect escape rate
  • False reject rate
  • Time to onboard a new product
Program C

Collaborative Robotic Handling

Robotic picking and packing for high-mix, variable items, designed from the start to work safely beside human teams.

Measured by
  • Picks per hour
  • Grasp success rate
  • Safety events
Program D

Demand-to-Production Intelligence

Planning models that turn volatile demand into schedules, staffing and material plans, and update them continuously as the day unfolds.

Measured by
  • Forecast error
  • On-time shipment rate
  • Overtime and expedite cost
Innovation roadmap

Compounding intelligence, horizon by horizon.

Each horizon builds on the data, systems and people of the one before it. This is the path we are building toward through 2030.

2026
Horizon 1 / Operational AI

Agents and vision on the line

The first generation of agents and inspection models runs daily at full production volume.

  • Exception-handling agent in daily use
  • Adaptive inspection on every production line
  • Production data engine online
2027
Horizon 2 / Intelligent platform

One platform for every model

A shared data and AI platform connecting every business unit, so each new model reaches production in weeks.

  • Unified data and model platform
  • Agents across sales, service and supply chain
  • Multimodal models trained on proprietary data
2028
Horizon 3 / Physical AI at scale

Robots on the production line

Learned manipulation moves from pilot cells into full production across multiple sites.

  • Mobile manipulation for mixed-SKU handling
  • Multi-site deployment playbook
  • Safety-certified human-robot workcells
2030
Horizon 4 / AI-native enterprise

Self-optimizing operations

An operating platform that improves its own planning, production and delivery decisions over time.

  • Platform licensed to external businesses
  • Open research and published benchmarks
  • AI embedded across consumer product lines
Our people

Scientists and engineers who rarely share a room.

The hardest problems in applied AI cut across disciplines. 3KALO brings together experts who usually work in separate organizations, and gives them a shared mission and a production environment to test their ideas.

We judge our research by one standard: does it still work on Monday morning, on the production floor, at full volume?

Machine learning research

Foundation models, agents, reinforcement learning and rigorous evaluation.

Robotics & controls

Manipulation, motion planning, sensing and functional safety.

Perception science

Inspection, 3D perception, tracking and synthetic data generation.

Systems & data engineering

Data platforms, MLOps, edge deployment and integration at scale.

Operations science

Industrial engineering, optimization, supply chain and quality systems.

Join the team

We are hiring across machine learning, robotics, perception and systems engineering.

Send your CV
Responsible AI

Powerful systems demand strong principles.

AI that acts in physical spaces and business operations has consequences. These commitments apply to every project we run.

People keep authority

Anyone responsible for a process can see what our systems do, override them and switch them off.

Safety before speed

Physical systems pass staged testing and hazard review before they share space with operators.

Data used with care

Operational and partner data is protected by strict access controls and used only for the purpose agreed.

Evidence over claims

Results are reported with baselines and known limitations, including the experiments that failed.

Work with 3KALO

Build the future of applied AI with us.

Whether you bring a hard operational problem, a research question or a long-term vision, we would like to hear from you. Most partnerships start with a single conversation.

Address
1121 S Jupiter Rd, Garland, TX 75042, United States

Industry partnerships

For companies with hard problems in production, logistics, quality or customer experience. We scope pilots with clear metrics from day one.

Start a pilot

Research collaboration

For universities and research labs seeking production-scale datasets, deployment environments and co-authored work on applied problems.

Propose a collaboration

Careers

For researchers who want their models, robots and systems running in production, not only in papers and demos.

Explore careers

Investors & partners

For investors and corporate partners seeking a long-term stake in applied AI infrastructure grounded in production operations.

Get in touch