01
Upfront investment
Traditional systems require collecting, preparing, structuring, and integrating large volumes of data before useful answers can be delivered.
Location intelligence liberated.
Get contextual location intelligence at query time directly from raw evidence—images, video, documents, sensor observations, and other available sources. No costly upfront data integration or conventional map generation is required.
The problem
People and machines need answers, not digital replicas of the physical world.
The industry focuses on building increasingly sophisticated digital representations of the world rather than efficient ways to deliver the contextual location intelligence people and machines actually need. Creating and maintaining these representations requires substantial investment in data, infrastructure, integration, and ongoing updates—leaving many organizations without practical solutions.
02
Ongoing maintenance
Digital representations must be continuously updated as the physical world, available evidence, and operational context change.
03
Limited by design
Traditional systems are built around predefined purposes and assumptions. They struggle to answer questions that were not anticipated at design time.
Value proposition
More intelligence for less.
Work beyond mapped environments
Get location intelligence where conventional solutions and digital twins are unavailable, impractical, or too expensive to deploy.
Skip silos and heavy upfront integration
Use relevant evidence across independently managed sources without first building costly pipelines around predefined scenarios.
Use only what the task requires
Avoid investing in survey-grade digital twins or HD maps when contextual understanding is sufficient.
Respect privacy and data ownership
Keep source data under the owner’s control and avoid retaining sensitive imagery and other evidence, helping protect third parties captured in that evidence.
First product
Navigate unfamiliar indoor spaces hands-free.
We deliver positioning and navigation for environments where conventional location solutions don’t work. Our technology guides users without purpose-built indoor maps, beacons, or Wi-Fi positioning.
Visual observations captured by mobile devices or smart glasses are all we need to determine where a person is and how to guide them through the space.
- Identify the venue, floor, or relevant area
- Estimate the user’s current indoor position
- Generate a route from available evidence
- Maintain positioning through complex, multi-floor movement
Privacy & ownership
Privacy by design.
The system operates in semantic space and therefore does not need to copy or retain raw images.
This supports privacy for smart-glasses users, third parties appearing in captured evidence, and organizations that need their underlying data to remain under their control.
Demonstrated capabilities
Working prototypes to spark imagination.
From understanding an ad-hoc image to maintaining a user’s position through a complex indoor journey.
01
Image-based search
Search context captured in source imagery, not only what predefined taxonomies or conventional geospatial systems were designed to recognize.
02
Indoor positioning
Locate the user without GPS, beacons, or other positioning infrastructure.
How it works
From raw evidence straight to contextual answer.
We do not precompute every future answer. We create a compact semantic substrate and reason over it when the question is asked.
Understand the evidence
Images, video, documents, signals, LiDAR, satellite imagery, and other observations are indexed as compact semantic probes.
Reason at query time
The system evaluates the available semantic probes based on the actual query, user, constraints, and situation.
Get location intelligence
The result can be a position, route, recommendation, risk assessment, inventory answer, or machine action.
Applicable use cases
Location intelligence for humans and autonomous systems.
Our technology can empower several scenarios where location intelligence plays a pivotal role, serving both people and robots.
How we differ
Simplicity over complexity.
Traditional systems
infinAIte
Depend on conventional digital maps to navigate and search physical space
Reason directly from available evidence without requiring a conventional map
Transform evidence into predefined structures, losing part of its original context
Preserve source context without forcing evidence into predefined structures
Consolidate multi-source data into one predetermined representation before it can be queried
Integrate semantic probes at query time while source data remains under the owner’s control
Support questions anticipated by system designers or data modelers
Address questions based on the actual user, task, and situation
Require GPS, beacons, Wi-Fi, or other preinstalled positioning infrastructure
Operate without dedicated positioning infrastructure
Practical mainly for high-value, extensively mapped environments
Extend location intelligence to underserved or uneconomical-to-map environments
Founders
Experience building at scale.
More than four decades of combined experience in geospatial and location technologies. Deep expertise in product judgment, location-industry needs, and building complex technology into usable systems.
Co-founder · Product
Alina Kmiecik
Alina has more than 20 years of experience leading geospatial products and spatial-data platforms at Hexagon and TomTom. She has managed products used by more than 2,000 government and enterprise customers and led or advised major data-integration programs for European institutions and national governments.
Co-founder · Technology
Marcin Kmiecik
Marcin spent 25 years at TomTom building large-scale location and map-production technology used in platforms serving companies including Apple, Uber, and Microsoft. He has led global engineering organizations, driven early AI adoption, and is an inventor on fifteen international location-technology patents.
∞
Alina and Marcin met while studying computer science three decades ago and have been together ever since. They share a passion for software engineering, a vision for the future of location intelligence, and a pragmatic approach to emerging technologies.
Work with us
Location intelligence for the AI era.
We collaborate with venue operators, wearable-device companies, robotics teams, and organizations ready to onboard location intelligence.