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Research with AI
Category
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Food Manufacturing
AI-based KYC, identity verification and fraud-prevention computer vision.
IoT water-flow metering and water-resource analytics.
Advanced molecular imaging and radiopharma technologies.
Sodium-ion battery and energy-storage technologies.
Marine robotics, environmental technologies and advanced-material startups.
Bioprocessing and bioindustrial ventures.
Indigenous ICU ventilators and critical-care medical devices.
XR-based welding and industrial-skills simulation platforms.
Waterless hygiene and sustainable personal-care products.
Materials, polymers, coatings and chemistry-led industrial technologies.
IoT-led dairy supply-chain digitization, cattle monitoring and milk procurement systems.
Point-of-care diagnostics and biosensor devices.
Non-invasive health sensing and consumer health electronics.
Omnidirectional stereo-vision cameras for robotics and autonomy.
Customized wheelchairs and assistive mobility products for people with disabilities.
Electric aerial mobility and autonomous air-transport technologies.
Immuno-oncology biologics and antibody therapeutics.
Deep-science instrumentation and biomedical sensing.
Robotics, propulsion, autonomy and unmanned-systems startups.
Early-stage applied AI and IoT ventures.
Solar/electric cargo trikes and light electric mobility products.
Medical-device and healthtech startups from the Pune science ecosystem.
LiDAR, mapping and 3D geospatial analytics.
Genomics-led infectious-disease diagnostics and health analytics.
Early-stage quantum, electronics and materials ventures.
EV manufacturing, battery and charging-related solutions.
Maternal and neonatal health diagnostic and monitoring systems.
Drone-swarm light shows and UAV coordination systems.
Construction supply-chain analytics and project-control software.
Advanced battery materials, fast-charging cells and energy-storage systems.
Air-purification and indoor air-quality technologies.
Remote cardiac monitoring and arrhythmia diagnostics.
Multi-sensor earth-observation satellites combining optical and SAR imaging.
Vernacular coding, skilling and edtech platform.
Seaweed-based bioproducts, biostimulants and ocean-biomass technologies.
Industrial AI, computer vision and asset/safety monitoring for heavy industry.
Electric propulsion and satellite mobility technologies.
Computer-vision, traffic analytics and embedded AI systems.
Retail investing and fintech platform.
Foldable modular housing and rapid-deployment infrastructure.
Aerospace and defence engineering ventures.
Medtech devices and computational-health startups.
Multi-axis CNC and additive-manufacturing machines.
Industrial IoT sensor platforms for high-temperature process monitoring.
B2B Edutech for Classes 1-12
EV Manufacturing and Assembly
Manufacturing: Advanced materials and manufacturing technologies.
Healthcare: Oncology Therapy
Electronic RISC-V microcontrollers and secure IoT chips.
Semiconductor Electronics
Post Quantum Security
Healthcare: Cell-therapy platforms for retinal and ophthalmic disease.
AI geospatial systems and climate disaster
Oncology: Recurrence: Cancer recurrence-risk diagnostics.
Platform: Digital healthcare, teleconsultation, diagnostics and medicine-delivery platform.
Solar-DC microgrids, energy storage and EV power-electronics systems.
Nanorobotics for dental and biomedical applications.
Pollution-control technology for capturing diesel-generator particulate emissions.
Novel antibiotics and anti-infective drug discovery.
Quantum-safe cryptography and cybersecurity technologies.
Deep-science startups across therapeutics, diagnostics and bioindustrial platforms.
Surveying, mapping and enterprise drone solutions.
Non-invasive cardiac screening and acoustic diagnostic devices.
Methane-to-protein and synthetic-biology biomanufacturing.
Warehouse robotics and automation systems.
Microfluidic diagnostic platforms.
Bio-based packaging materials from agricultural waste.
Drug discovery and small-molecule therapeutic R&D.
Applied AI, vision, robotics and autonomy ventures.
NLP, speech, enterprise AI and applied machine-learning ventures.
Medical simulation and surgical-training technologies.
Online grocery supply-chain and commerce platform.
Drones for logistics, surveillance, defence and industrial applications.
Enterprise conversational AI, voice analytics and contact-center automation.
Mobile gaming and esports platform.
Atmospheric water-generation and drinking-water technologies.
Food-delivery and hyperlocal logistics platform.
Underwater robotic inspection for ports, dams, ships and industrial infrastructure.
Venture-building and funding platform for climate, inclusion, agri and impact startups.
Large-scale entrepreneurship programs for women, livelihoods, skilling and social ventures.
Tissue engineering, regenerative medicine and organoid platforms.
Floral-waste recycling into incense, biomaterials and leather alternatives.
Nanomaterial-based arsenic and heavy-metal water purification.
EV battery-swapping, fleet-management and charging-infrastructure software.
Antimicrobial fabrics, diagnostics, predictive wearables and medical simulation products.
Smart electric scooters, connected EV software and charging infrastructure.
Robotics education and embedded-systems training infrastructure.
Soil-testing and agritech decision-support technologies.
3D-printed rocket engines and small-satellite launch vehicles.
Healthcare: Supplements for Nutrition, Immunity,Weight Loss, Sleep and Stress Production and Manufacturing
Entertainment Manufacturing
Home Applicances
CDMO Contract Development and Manufacturing Organization
Healthcare :Test Results for Communicble and Non-Communicable Diseases
Micro Finance
DeepLearning, NLP, Computer Vision for Insights from Unstructured visual data
AI Data Center with GPUs
AI Robotics Simulated Testing Labs
Defence, surveillance and enterprise UAV/drone systems.
Automotive: Engine-control electronics and mechatronics for automotive and power systems.
Healthcare: diagnostics startups across healthcare and infectious disease.
Observability in BFSI
Government application-review agents
Engineering-led sustainability, energy and infrastructure.
Robot testing lab with World Model Action models from internet-videos
AI Native Legal Tech and Contracts Tech with document injestion and vector DB knowledge base
Speciality Beverages
Indian Speciality Coffee brand, Retail and Cafe
Enterprise Resource Planning - platform automates critical workflows for the real economy manufacturing, CPG, and distribution
AI powered documentation and back-office workflows for field service and residential services companies
Vision and Video foundation model
Insurance Claims with AI
D2C apparel intimate wellness and womens personal care India
Small Satellite Operators in India
Hiring and recruitment based on AI insights of company processes
✓ Click on Category
Founders
Luca Hadife, Mohamed Hosny
Products
Field Capture: Captures technician photos, voice, video, and structured job information while work is being performed., Operating Memory: Builds a searchable history of jobs, sites, assets, repairs, decisions, and procedures., AI Employees: Automates reports, warranty claims, coordination, compliance, follow-ups, parts ordering, and connected-system updates., Company Brain: Maintains company-specific operational knowledge that AI agents can query and use.
Valuation
Revenue (USD Million)
Registration and Others
Legal entity: Third Eye AI, Inc. (identified in the footer of Kebra's official website). Founded: 2026. Incorporated: not publicly disclosed. Status: Active according to Y Combinator. Country/state of incorporation: not publicly disclosed. Registration number/CIN: not publicly disclosed.
Website
Notes
Founded: 2026 Incorporated: Not publicly disclosed Status: Active; YC Summer 2026 Funding history: Y Combinator and SV Angel publicly identified as backers; no round amount publicly disclosed Funding amount: Not publicly disclosed Acquisition: None publicly disclosed Founder LinkedIn: Luca Hadife — https://www.linkedin.com/in/luca-hadife/ Founder LinkedIn: Mohamed Hosny — https://www.linkedin.com/in/mohamed-hosny-hussein/ Founder background: Luca Hadife — UC Berkeley Data/ML; previously built multimodal AI systems at Microsoft and worked at Amata. Public LinkedIn activity references Beirut and Lebanese founders; no independently verified family-origin details found. Founder background: Mohamed Hosny — taught Computer Architecture and Signal Processing at UC Berkeley EECS; previously worked as a software engineer on data-center switches at Arista Networks. Personal city, schooling, family-origin details, health issues, and legal issues were not reliably disclosed in reviewed sources. Public issues: No reliable public health or legal issues identified for either founder. UNIT METRICS ------------- Metric | Number Team Size | 2 people States Live | 3 states YC Batch | 2026 Demo Length | 30 minutes Employees | 2 people Revenue | N/D ARR | N/D Retention | N/D Gross Margin | N/D Claims Recovery | N/D Problem Statement Poor field documentation -> incomplete operational data -> back-office delays, missed warranty recovery, inaccurate parts ordering, slower billing, and weaker customer follow-up. Impact if unsolved: administrative labor remains high; revenue leakage and service-cycle delays persist. Alternatives: manual technician reports; existing FSM/CRM workflows; phone, SMS, email, spreadsheets, and outsourced back-office teams. Due Diligence Segment ---------------------- Market & Sector Thesis: Field-service businesses remain operationally fragmented across technicians, FSM systems, CRMs, supplier portals, and accounting tools. AI agents become more useful as reliable field evidence and company-specific operating context accumulate. Market Sizing: Targets B2B field-service operators, initially including HVAC, home services, facility management, inspections, and construction-risk workflows; company-specific TAM not publicly disclosed. Operating Traction: Kebra states it is working with field-operations companies across Florida, Pennsylvania, and California; customer count and financial metrics are not disclosed. Direct Competition: ServiceTitan, Housecall Pro, Jobber, FieldEdge, and Workiz; these are larger field-service software platforms rather than directly comparable early-stage AI-agent companies. MOAT Durability: Potential moat is proprietary company-specific operating memory built from job evidence, asset histories, workflows, and outcomes, combined with integrations into operational systems. The moat could be weakened by incumbent FSM vendors adding comparable AI agents or by general-purpose AI platforms developing reliable field-service integrations. Plausible probable AI models used: Not publicly disclosed. Verified technology stack: AI models, hosting, storage, search, transcription, communications, and integrations are referenced generally in Kebra's privacy policy, but specific vendors, model names, frameworks, and databases are not disclosed. Sources: Y Combinator company profile — https://www.ycombinator.com/companies/kebra — last updated: not disclosed; accessed 2026-08-28 Kebra official website — https://www.kebra.com/ — last updated: not disclosed; accessed 2026-08-28 Kebra Privacy Policy — https://www.kebra.com/privacy — last updated 2026-08-02; accessed 2026-08-28 Kebra official LinkedIn company page — https://www.linkedin.com/company/kebra-com/ — last updated: not disclosed; accessed 2026-08-28 Dealroom company profile — https://app.dealroom.co/companies/kebra_1 — last updated: not disclosed; accessed 2026-08-28
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Company Metrics
Attribute
Metric
Reference
Company Value
Data Scale
Data Sources
4 data-source categories
data-source categories
Data Scale
Training Timesteps
903000000 robot timesteps
robot timesteps
Deployment Readiness
Embodiment Classes
4-5 robot classes
robot classes
Deployment Readiness
Industrial Environments
100-500 environments
environments
Deployment Traction
Customer Facilities
null facilities
facilities
Deployment Traction
Industrial Environments
100-500 environments deployed
environments deployed
Financing Benchmarks
Series A Funding
300-405 USD million
USD million
Financing Benchmarks
Series A Valuation
1.5-2.0 USD billion
USD billion
Funding Capacity
Early Valuation
1-2.4 USD billion
USD billion
Funding Capacity
Seed Funding
70-105 USD million
USD million
Model Breadth
Demonstrated Tasks
68 tasks
tasks
Model Breadth
Robot Configurations
7 robot configurations
robot configurations
Model Breadth
Robot Platforms
7 platforms evaluated
platforms evaluated
Model Breadth
Training Timesteps
903 million timesteps
million timesteps
Model Breadth
Unique Tasks
68 tasks evaluated
tasks evaluated
Research Productization
Open Source Releases
1 releases
releases
Research Productization
Public Model Releases
1 models released
models released
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