Kenny Li
Founder & CEO of iLabService. Kenny has 10+ years of experience in laboratory operations and regulated environment management, and has led iLabService from early Smart LabOps products toward an AIoT physical context infrastructure category.
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About iLabService
iLabService began with a practical belief: laboratory operations should not depend on fragmented alarms, manual checks, and after-the-fact evidence. Since 2016, the company has built software, AIoT hardware, and edge infrastructure that turn lab-floor reality into trusted operating context.
Company focus
The first chapter of iLabService focused on making laboratory operations safer, more compliant, and more efficient through intelligent systems. The next chapter extends that foundation into an AIoT physical context layer: hardware captures the physical world, Sci-Edge, the edge response layer, keeps context close to the site, software governs operational responsibility, and AI systems gain trusted evidence from regulated scientific environments.
Leadership
For investors and strategic partners, the important signal is continuity: iLabService is built by a focused team working across hardware, software, regulated deployment, and field validation.
Founder & CEO of iLabService. Kenny has 10+ years of experience in laboratory operations and regulated environment management, and has led iLabService from early Smart LabOps products toward an AIoT physical context infrastructure category.
The team combines IoT data pipelines, edge computing, enterprise SaaS, industrial monitoring, and lab workflow knowledge to build the physical-to-operational context layer across hardware, software, and deployment environments.
Product direction is shaped by deployment feedback from lab managers, facility teams, QA/EHS reviewers, and scientific users across pharma, biotech, testing, and research environments.
Selected customers and ecosystem partners
This mix includes customer relationships in pharma, biotech, testing, and research, alongside ecosystem organizations that understand regulated samples, instruments, facilities, quality systems, and audit pressure.




























Company scale
The footprint spans enterprise lab deployments, daily operators, and connected devices across pharma, biotech, research, and testing environments.
Production footprints across life science, biopharma, research, and regulated lab environments.
Daily operators across lab workflows, indicating the system has moved beyond single-site pilot usage.
Connected devices across environmental, equipment, and workflow signal capture.
Deployments can start with lab management software, AIoT hardware for a critical scene, or Sci-Edge for offline-first local intelligence, then expand by module, asset count, and site footprint.
iLabService provided freezer monitoring white-label service for Thermo Fisher Scientific's LabServ sub-brand, showing that the platform can meet the expectations of a global scientific equipment organization as well as end-user lab teams.
History
The company history shows a consistent pattern: start close to laboratory operations, build physical capture and workflow products, contribute to standards, and expand internationally.
Founded in a garage in New Jersey and joined Microsoft BizSpark while exploring how lab operations could become more connected and data-driven.
Built the early Smart LabOps product foundation, earned Microsoft Azure product certification, and began validating the platform with enterprise laboratory teams.
Expanded R&D, joined Y Combinator's summer batch, and completed seed financing to accelerate software, hardware, and lab operations product development.
Passed ISO system certification, joined Microsoft Accelerator, strengthened enterprise security and deployment practices, and completed financing through Series A.
Contributed to standards work for remote laboratory assessment and intelligent low-temperature chamber monitoring, and provided freezer monitoring white-label service for Thermo Fisher Scientific's LabServ sub-brand.
Continued deployment growth across Asia-Pacific, the Middle East, and enterprise pharma sites while deepening industry collaboration and participating in SWITCH 2024 as part of a broader international innovation program.
Signed strategic cooperation agreements with Synertec Intelligence and LabWare Group, strengthening regional deployment, systems integration, and laboratory informatics collaboration.
Business coverage extended across Asia-Pacific, the Middle East, and North America while the new Sci-Edge product line expanded iLabService from lab monitoring into an edge response layer for regulated physical context.
Global deployment readiness
iLabService is headquartered in Hong Kong with operations across the US, Singapore, and Asia-Pacific. Customer and deployment activity spans North America, Europe, East Asia, Southeast Asia, and the Middle East. For US and global customers, deployment planning should define region, data residency, access control, export, retention, validation evidence, and integration boundaries before production rollout.
Region, access, export, and retention boundaries are treated as deployment decisions rather than assumed defaults.
Configuration, sensor mapping, acceptance checks, and review artifacts can support regulated customer validation programs.
The company uses laboratory deployments as the first proof point for a broader physical context infrastructure category.
Investors and ecosystem
iLabService has received support from venture and innovation partners that understand both technical infrastructure and applied laboratory operations.










Vision
Regulated laboratories generate enormous amounts of physical evidence every day, but most of it is not captured in a governed, computable form. LIMS and ELN systems record what people write down. Equipment vendors capture device telemetry. The missing infrastructure is the layer that connects physical state to accountability: what happened, where, when, who responded, and whether the evidence can survive an audit.
iLabService is building that layer from the lab wedge outward. The timing matters because AI for Science needs trusted physical ground truth, not only digital records. The company's deployment depth, 20,000+ device footprint, and relationships across regulated lab organizations give it a practical path to own the physical context layer before it expands into broader regulated physical operations.
Use configurable devices, gateways, adapters, and lab-native smart hardware to capture what software records alone cannot see.
Connect physical events to assets, locations, people, workflows, thresholds, and audit trails that teams and AI systems can trust.
Use laboratories as the first proof point for a broader physical context infrastructure layer across regulated environments.