Mecka AI
Mecka is the data and deployment layer for physical AI, converting real-world robotics activity into structured datasets and deployment tools for robot learning.
- Business Profile
- Founders & Team5 sources scanned
- Market Size9 sources scanned
- Competitor Research5 sources scanned
- Funding6 sources scanned
- Momentum6 sources scanned
- Customer Sentiment7 sources scanned
- AI Visibility
- Risks & Red Flagspublic record checked
Summary
Worth a closer lookMecka is a robotics data-and-deployment platform that converts real-world robotics activity—with a stated specialization in egocentric human-task capture—into structured datasets and deployment primitives for robot learning. It positions upstream of fleet/telemetry stacks (Formant, Foxglove) and alongside dataset/annotation players (Encord, Labellerr), claiming differentiation through end-to-end dataset→model→deploy workflows within a Robotic Software Platforms TAM of USD 7.58B (2026). Public signals show heavy recent financing (disclosed Seed $8M Aug 2025; reports of a $25M Series A Nov 2025 and a $35M follow-on led by Framework, totaling $68M) and the company claims $100M ARR, 40 employees, and immediate hiring — a mix of strong momentum and a claim that is materially outsized for stage/headcount. The single critical tension is verification of revenue, unit economics and customer references; first meeting should be a revenue-and-defensibility fact-check to decide follow-up.
Bull case
- Institutional financing depth: public reporting shows a Seed ($8M, Aug 2025) plus two follow-on financings (a reported $25M Series A Nov 2025 and a $35M follow-on) led by Framework — total disclosed capital $68M, which supports scaling plans.
- Product wedge: focuses on egocentric human-task capture and packaging deployment-ready training sets, a specific dataset-to-deploy angle that differentiates it from Encord/Labellerr (annotation) and Formant/Foxglove (fleet telemetry/visualization).
- Momentum signal: the company publicly claims $100M ARR, a 40-person team, and immediate hiring/scaling plans, suggesting aggressive commercial traction or at least strong growth intent.
- Founding bench: a four‑cofounder leadership team (Josh Gao CEO, Jason Chong CTO, Mogen Cheng CPO, Duy Nguyen COO) plus early-engineering hires provides an intact product and go‑to‑market core at this stage.
Watch-outs
- Revenue/metrics opacity: the $100M ARR claim is unverified in public sources and appears large relative to a 40‑person, early-stage company—unit economics, ACV, and churn are not disclosed.
- No public customer evidence: there are no identifiable customer reviews, named reference customers, or case studies in public sources for Mecka the robotics platform.
- Competitive pressure and visibility: the space is crowded with specialist players (Encord, Labellerr, Formant, Foxglove, ReductStore) that are better known in some segments; Mecka is not surfaced unprompted in AI/robotics lists.
- Opaque financing disclosures: multiple previously undisclosed financings were reported only in aggregate in June 2026, creating a transparency gap on cap table, lead terms, and runway use.
Questions for the founder
- 1Please provide audited/top-line verification of the $100M ARR claim and a current revenue waterfall by product/segment.
- 2Who are your top 5 customers by ARR today, and can we speak with two references for production deployments?
- 3What is your typical ACV, gross margin profile, customer retention/churn, and payback period on CAC?
- 4How is egocentric human-task data collected, what consent/IP/licensing model applies, and how large/unique is the dataset (hours, labeled items)?
- 5What technical or commercial moats (data exclusivity, tooling, deployment primitives) prevent Encord/Labellerr/Formant/Foxglove from replicating your offering?
Company profile
App store presence
Mecka↗★ 0.000 ratingsUtilitiesFree
Pricing
Not publicly disclosed. The company website does not list its pricing on any of the 6 pages we read.
Press
Target segments
Key features
- Mobile App
iOS app for large-scale collection of environment and task-specific human activity data
- Data Tools
Web interface to browse, visualize, query datasets, run inference APIs, and collaborate on collected data (access to Egoverse)
- Enterprise Solutions
Evaluation and deployment services for enterprises building or deploying embodied/robotic systems
- Egoverse
A large-scale, first-person human activity dataset for training and studying robot learning
- MK-SIG (Perception Modules)
Perception module suite for physical AI (on-site product/module name)
Stats they publish
Social accounts
Corporate identity & contact
- Trade name
- Carbon Based Technology Corporation
Frequently asked questions
- What does Mecka do?
- Mecka brings Physical AI into real life by building data, evaluation, and deployment infrastructure that helps robots learn from real human activity and environments.
- Who is Mecka built for?
- Robotics labs, frontier model teams, and enterprises deploying embodied systems — anyone needing task-specific data, evaluation, or a path from research to deployment.
- What is Egoverse?
- Egoverse is Mecka's large-scale human interaction dataset, built from real-world first-person activity across tasks, spaces, and environments — designed for studying how people move and act.
- Does Mecka build robots?
- We don't build robots — we're the integrator. Mecka plugs into hardware, models, and ecosystems and owns the data and the integration layer that makes deployments possible.
- How can teams work with Mecka?
- Start with dataset access, commission task-specific collection, run model evaluations, or build a full data program across environments.
Founders & Team
7- Josh GaoFounderCo-founder & CEOGraduate of Ivey Business School; previously co‑founded a startup offering software to ghost kitchens that was acquired in 2023.
- Jason ChongFounderCo-founder & CTOPreviously co‑founder and CTO of crypto startup Utopia Labs through its acquisition by Coinbase.
- Mogen ChengFounderCo-founder & CPOWith Gao, sold a prior startup in 2023 that focused on building payments technology for restaurants.
- Duy NguyenFounderCo-founder & COODescribed in press as an early sneaker reseller who made significant earnings flipping shoes.
- Kevin HuFounding Engineer
- Eric LokFounding team member
- Anthony TatFounding Engineer
Mecka’s core founding team publicly reported in press consists of four co‑founders — Josh Gao (CEO), Jason Chong (CTO), Mogen Cheng (CPO) and Duy Nguyen (COO) — supported by early engineers and team members (Kevin Hu, Eric Lok, Anthony Tat). The company is an early‑stage robotics data platform and was reported to have ~40 employees.
- The company website does not publish a founders list; press sources differ in wording. Fortune explicitly names four co‑founders (Gao, Chong, Cheng, Nguyen), while other coverage describes several early hires as “founding engineers” or “founding team” (Kevin Hu, Eric Lok, Anthony Tat).
- Background lines are drawn from press profiles (Fortune and Upstarts) where stated; several early team members are mentioned only as 'founding engineer' or 'founding team member' without independent prior‑company credentials in the available text.
- Excluded leadership named on unrelated Mecka (mecka.com / Mecka Inc.) pages (auto‑parts SaaS) to avoid conflating distinct companies operating under similar names.
Market Size
Public market research identifies the Robotic Software Platforms market at roughly USD 7.6B in 2026 (Mordor Intelligence), which is the best-published match for Mecka's software/data/deployment addressable category. No public ACV/pricing for Mecka or a citable share-size for the specific 'robotics data & deployment' subsegment was found, so a grounded bottom-up SAM cannot be calculated and a short-term SOM cannot be reliably derived.
- Mordor Intelligence ↗Market Size (2026) USD 7.58 Billion; Market Size (2031) USD 23.07 Billion; CAGR (2026-2031) 24.93% · Global · 24.93% CAGR
- MarketsandMarkets ↗The global Robotic Platform Market was valued at USD 9.8 billion in 2024; projected to grow from USD 10.3 billion in 2025 to USD 13.0 billion by 2029; CAGR 5.9% (2024-2029) · Global · 5.9% CAGR
- Grand View Research (Robotic Platform Market) ↗USD 9.97 billion (2023); projected to reach USD 14.82 billion by 2030; CAGR 5.9% (2024-2030) · Global · 5.9% CAGR
- DroidAge ↗DroidAge lists over 1,648 robotics companies across 66 countries · Global
- Target geographyGlobalmecka (target customer list: global robotics companies, research labs, AI teams)
- Primary published TAM usedRobotic Software Platforms Market (global, 2026) — used as the TAM because it matches the software/platform revenue type Mecka sells into (data & deployment software for physical AI).Mordor Intelligence (https://www.mordorintelligence.com/industry-reports/robotic-software-platforms-market)
- Count of potential direct customers (robotics companies, as a partial proxy for addressable buyers)1,648 robotics companies (DroidAge directory)DroidAge (https://droidage.com/)
- No published ACV / pricing for Mecka availableMecka's annual contract value (ACV) / public pricing was not found; bottom-up SAM (count × ACV) cannot be calculated without it.mecka.ai (no pricing captured)
- No reliable published subsegment share for 'robotics data & deployment' within robotic software platformsAvailable market reports give segmentation (simulation, predictive maintenance, etc.) but do not publish a clear, citable share for a 'robotics data + deployment' subsegment that exactly matches Mecka's offering.Mordor Intelligence; MarketsandMarkets; Grand View Research
- TAM estimates vary by publisher and by definition: 'Robotic Platform' figures (MarketsandMarkets, Grand View) include broader platform elements and may include hardware; Mordor's 'Robotic Software Platforms' is the closest published match to Mecka's software/data focus and was selected for TAM.
- No public ACV/pricing for Mecka was found, so bottom-up SAM (customer count × ACV) is not derivable from published information — SAM is therefore set to null.
- The DroidAge robotics-company count (1,648) is a directory snapshot and likely undercounts total potential buyers (excludes research labs, internal AI teams, and enterprises building in-house robotics).
- Some reports are paywalled or use proprietary estimation methodologies; reported CAGR and segment shares differ materially between publishers.
- SOM is a scenario that requires a grounded SAM and evidence of ACV traction; neither was available in public sources, so SOM is null.
Competitors
Top 5Robotics-data platforms split across visualization/debugging, fleet operations, storage, and annotation; Mecka sits as a specialized dataset-and-deploy layer, unique for egocentric human task capture and training-to-deployment workflows.
- Labellerrlabellerr.com ↗Full-stack annotation and synthetic and real data pipeline for robotics; Mecka differentiates with proprietary egocentric human task capture and end-to-end dataset-to-deploy tooling.
- Encordencord.com ↗Enterprise-grade annotation and dataset lifecycle platform; Mecka positions as more robotics-specialized, capturing egocentric human task data and packaging deployment-ready training sets.
- Formantformant.io ↗Fleet data-management and operational analytics for deployed robots; Mecka focuses upstream on curated egocentric datasets and model deployment primitives rather than fleet telemetry.
- Foxglovefoxglove.dev ↗Real-time multimodal visualization and debugging for robotics engineers; Mecka complements with curated annotated egocentric datasets and deployment tooling instead of in-situ telemetry.
- ReductStorereduct.store ↗High-performance storage and streaming engine for robotics/edge data; Mecka focuses on human-task capture, annotation, and dataset-to-model deployment, not on low-level storage.
Funding
- Seed$8M2025-08-12Bennett Siegel leadForerunner leadGaurav Ahuja leadCrunchbase ↗
- Series A$25MNovember 2025Framework Ventures leadMenlo VenturesSV AngelKindred VenturesTed XiaoFortune ↗
- Follow-on investment$35MFramework Ventures leadMenlo VenturesSV AngelKindred VenturesTed XiaoFortune ↗
Mecka has disclosed a Seed round in August 2025 for $8M (Crunchbase) and multiple press reports say the company has raised $60M in follow-on capital led by Framework Ventures — described as a $25M Series A (Nov 2025) plus a $35M follow-on — giving a disclosed aggregate of $68M.
- Multiple sources report the $60M total but disagree on how it is staged: Fortune and others describe two closes ($25M Series A in Nov 2025 + $35M follow-on) while Crunchbase lists a $60M Series A (2026-06-01). The available materials do not reconcile those representations.
- The follow-on $35M has no explicit date in the coverage; its timing is reported only as subsequent to the November raise and prior to the June 2026 announcements.
- Crunchbase's seed entry names additional investors as "+6 more (9 investors)"; only the named seed investors are included above.
- Some aggregator/tracker entries (Tracxn, PitchBook excerpts) show different totals or investor counts; itemized rounds above reflect only verbatim claims present in the supplied sources.
- Disclosed rounds may be incomplete (early undisclosed angel/accelerator funding is possible).
Momentum
- FundingJune 2, 2026Mecka announced $60M in total funding (reported June 2, 2026).BetaKit ↗
- MilestoneJune 2, 2026Company claims it supports an annual revenue run rate of $100 million based on signed contracts.citybiz ↗
- FundingJune 2, 2026Reported $35M follow-on / Series A extension closed in recent weeks (part of the $60M total).BetaKit ↗
- FundingNovember 2025Closed a $25M Series A in November 2025 (one of two previously unannounced financings).BetaKit ↗
- FundingAugust 12, 2025Seed round: $8M (Aug 12, 2025) — investor participation listed on Crunchbase.Crunchbase ↗
- Milestone2025Company founded in 2025 (founders decided to start Mecka after collecting sufficient traction).citybiz ↗
Multiple outlets reported a June 2026 disclosure that Mecka has raised $60M across two previously undisclosed financings (a $25M Series A closed Nov 2025 and a $35M follow‑on). The company also claims a $100M ARR and is publicly describing immediate hiring and scaling plans, indicating accelerating momentum.
- The $60M figure and the split between a Nov 2025 Series A and a follow-on are reported across press pieces; exact close dates/terms for the follow-on are described as "recent weeks" and not independently itemized in filings.
- The $100M ARR is a company-reported metric quoted in press coverage and has not been independently verified in the articles provided.
- Seed-round detail is sourced to Crunchbase summary data rather than an original press release; no customer names or audited financials were provided in the coverage.
Customer Sentiment
There are no identifiable public customer reviews for Mecka (mecka.ai) the robotics data & deployment platform. Public review entries for the name “Mecka” on multiple sites refer to different businesses (an auto-parts SaaS, a fitness studio, and a consumer product) and do not describe a robotics-data platform.
Multiple unrelated companies named “Mecka” appear in public review listings: an auto-parts SaaS (profiles on Software Advice, TrustRadius, GetApp, SelectHub), a fitness business (Yelp, App Store), and a consumer product (Amazon).
Some platforms show aggregate scores for the auto-parts Mecka (e.g., Mecka 4.7 (3) on Software Advice / GetApp), but those reviews concern an auto-parts business, not a robotics data/deployment platform.
No review text or rating was found that clearly references mecka.ai, robotics data, robot learning, or deployment tools — preventing a reliable customer-sentiment assessment.
Name collisions across review sites limit confidence; absence of robotics-specific references suggests public review signal for mecka.ai is currently insufficient.
AI Visibility
We ask ChatGPT WITH web search about the company and show its answers plus the sources it cited — the real AI-search experience. The key signal is share of voice: does the company come up when AI is asked about its space, not just when asked by name.
Models asked ChatGPT · web search
Accuracy of what AI said: Accurate — Correctly characterizes Mecka as a robotics-data platform focused on converting human motion into datasets (Egoverse); reported founders/funding details in the direct answer are not present in the provided profile and should be independently verified.
Mecka AI is a New York City-based artificial intelligence startup specializing in training robotics models using human motion data collected from sensors and iPhones. The company was founded in 2025 by Josh Gao, Mogen Cheng, Jason Chong, and Duy Nguyen. (fortune.com)
In June 2026, Mecka AI announced it had raised a total of $60 million across a Series A round and a subsequent follow-on investment. The funding was led by Framework Ventures, with participation from Menlo Ventures, SV Angel, Kindred Ventures, and angel investor Ted Xiao. (fortune.com)
The company's approach involves collecting large-scale human motion data to train robots, aiming to achieve general intelligence in the physical world. This method contrasts with traditional teleoperation, where humans manually operate robots to generate training data. (fortune.com)
As of June 2026, Mecka AI has approximately 40 employees. The company projects an annual run rate of $100 million based on already-signed contracts, though specific customer names have not been disclosed. (fortune.com)
Mecka AI's platform, Egoverse, offers large-scale human interaction datasets designed for studying human movement and task completion, providing valuable resources for robotics and AI research.
In summary, Mecka AI is a rapidly growing startup at the forefront of integrating human motion data into robotics training, with significant funding and a strong team of founders and employees.
Here are some notable companies and products in the robotics data platform space:
- Formant: Provides a cloud-based platform for managing, monitoring, and analyzing robot fleets.
- InOrbit: Offers a cloud-based robot operations platform for real-time monitoring and control of autonomous robots.
- Freedom Robotics: Delivers a comprehensive platform for robot management, including monitoring, control, and analytics.
- Rapyuta Robotics: Develops a cloud robotics platform that enables remote monitoring and control of robot fleets.
- Clearpath Robotics: Provides a fleet management system for monitoring and controlling autonomous mobile robots.
- Fetch Robotics: Offers a cloud-based platform for managing and analyzing autonomous mobile robots in warehouses.
- OTTO Motors: Provides a fleet management system for autonomous material handling robots in industrial environments.
- RoboCloud: Offers a cloud-based platform for robot data storage, analysis, and remote management.
- Roboception: Develops perception solutions and data platforms for robotic vision applications.
- Brain Corp: Provides an AI platform for autonomous mobile robots, including data collection and analysis tools.
In the robotics data platform space, several companies offer innovative solutions to manage and utilize data for robotics and embodied AI systems. Here are some notable examples:
Pudu Robotics製 配膳ロボット：株式会社日立システムズ Robata Robata specializes in building structured robotics data pipelines, transforming real-world human tasks into usable robotic learning data. Their platform encompasses human task capture, sensor-rich datasets, and robot-ready delivery, facilitating scalable data collection across various tasks and industries. (robata.net)
Pi0 and Pi0.5 Model Fine-tuning Guide | EmbodiFlow EmbodiFlow EmbodiFlow offers a comprehensive embodied AI data platform designed for multimodal data collection, annotation, visualization, and post-processing. It supports various sensors and integrates AI-powered post-processing to automate tasks like timestamp alignment and pose estimation, streamlining the development of robotics and embodied AI systems. (embodiflow.com)
Roboto – The Analytics Engine for Physical AI RoboFLO AI RoboFLO AI provides a cloud-based, AI-powered platform that processes raw robotics sensor data—such as camera feeds and LiDAR scans—by automatically labeling, cleaning, organizing, and versioning datasets. This service accelerates the transition from raw data to trained AI models, reducing the time required from months to hours. (robofloai.com)
Alloy.ai - Demand and Inventory Insights for Consumer Brands Alloy Alloy delivers a platform that unifies image, time-series, and log data search, enabling users to find insights across models, telemetry, and missions efficiently. It captures and interprets robotic signals, translating them into actionable decisions to enhance business operations. (usealloy.ai)
Foxglove - Multimodal data management for robotics developers. Foxglove Foxglove is a multimodal data platform for robotics and autonomy, facilitating data capture and visualization from robotic fleets. It allows users to search across logs and curate datasets to train models, supporting the scaling of physical AI from prototype to production. (foxglove.dev)
These companies are at the forefront of developing platforms that enhance the collection, management, and utilization of data in robotics, contributing significantly to the advancement of embodied AI and autonomous systems.
Mecka appears when asked directly but is not surfaced unprompted in AI lists of notable robotics-data-platform companies; the assistant’s direct description aligns with the provided profile, though funding and founder claims cited should be confirmed from primary sources.
- AI surfacing can vary by prompt and run — omission from category/recommendation lists doesn’t prove absence from public discourse.
- Direct answer cites a 2026 media report for funding/founders; those claims should be verified against primary filings, press releases, or company statements.
- Web search results for early-stage robotics-data companies can be thin or noisy, so visibility/positioning may change quickly.
Risks & Red Flags
No material public risk signals found. An absence of public concerns isn’t a clean bill of health — early or private companies may simply not generate coverage.
No publicly-attributed incidents were found; this may reflect a limited public footprint, which is common for early-stage or privately-held B2B startups.
Absence of public reporting does not guarantee absence of risk — private disputes, customer issues, security incidents, or regulatory matters may not be publicly disclosed and require offline diligence.
Compiled by AlgoTurk from public web sources · . Not investment advice.