An independent, founder-led applied AI company.
AI transformation + intelligent systems · Since 2007
Intelligencegrows.
Metivity helps complex organizations identify valuable AI opportunities, build dependable intelligent systems, and turn them into operational capability.
Explore how we workA working AI discipline since 2007
Publicly documented technical leadership across AI products and R&D.
Optimization, decision systems, computer vision, and intelligent products.
A live example of contextual AI designed around people, place, and use.
Where intelligence takes form
From signal to system.
Decision systems
Turning complex variables into useful direction.
Contextual products
Avsha shows how intelligence can turn place into a personal, living story.
New ventures
Transforming accumulated insight into new products and companies.
Where experience lives
AI is not a feature. It is an operating discipline.
A model can produce an answer. Creating durable value requires the whole system around it—and the judgment to make every layer work together.
Direction
Define the decision, the value, and the constraints before choosing the technology.
Context
Design around real data, human behavior, domain knowledge, and the environment where the system must work.
Intelligence
Compose models, retrieval, memory, tools, logic, and interfaces into one coherent capability.
Trust
Evaluate quality, edge cases, failure modes, and risk—before scale makes every weakness more expensive.
Adaptation
Observe real use, learn from feedback, and keep improving as people and conditions change.
The model matters.The system around it determines whether it matters.
How an engagement takes shape
Start with the decision. Earn the right to scale.
Metivity can enter at a focused question, a system build, or a wider transformation challenge. Each step is designed to produce evidence for the next decision.
Opportunity direction
Clarify the business decision, operating constraints, available evidence, and a credible definition of value before committing to a build.
Focused validation
Build the smallest useful system that can test quality, workflow fit, risk, and the case for further investment.
Production and adoption
Engineer the surrounding product, controls, human workflow, measurement, and improvement loop required for dependable use.
Every stage has a decision.Proceed, refine, redirect, or stop—with evidence.
Independent by design
Experience compounds. Client knowledge stays protected.
Metivity brings technical judgment developed since 2007 to every engagement. Client data, strategy, systems, and intellectual property remain separate from Metivity products and ventures and are handled according to the governing engagement terms.
2007Before the current wave
Metivity begins with AI as a working discipline, not a trend.
DirectionValue before technology
Define the decision, constraints, and evidence required.
TrustEvaluation before scale
Test quality, failure modes, oversight, and operational risk.
AdoptionThe system around the model
Design for real workflows, accountable use, and improvement.
Founder and technical lead
Raviv Yatom
Raviv is an AI founder and R&D leader with more than 20 years of publicly documented experience building intelligent products and technical organizations.
His career includes co-founding and leading R&D for Elm/AirBase, acquired by PerkinElmer in 2014. Early object-detection research names Raviv as an inventor on published US patent application US 20090161912 A1, which public records list as abandoned. These are founder credentials and are not presented as Metivity-owned work or IP.
A practical first conversation
Turn a difficult AI questioninto a clear next step.
Share the decision, workflow, or product you want to improve. The first conversation is about fit, evidence, and the smallest useful way to begin.
Discuss an AI opportunity Do not include confidential or sensitive information in an initial email.