AlPa
The unified Edge AI inference platform (v1.0.0-Beta) — WebAssembly + WebGPU with Dawn as the native backend. Compile once, run everywhere: browsers, edge devices, servers, embedded.
Explore AlPaAbout LOTUS CHAIN Hub
From early infrastructure research to a dual-engine venture builder
LOTUS CHAIN Hub is an AI-native venture builder. One engine builds companies: our Healthcare AI Venture Studio partners with founders in markets where trust matters. The other engine builds the technology: AlPa, our unified Edge AI inference platform, and the clinical products built on it — DiagFlow and Lotus Health.
Studio philosophy
Founders in high-trust industries need more than design polish and fundraising language. They need product discipline, technical realism, and a sharper understanding of how customers adopt complex systems.
High-trust execution is the product. In healthcare AI, credibility compounds: every governed deployment, every audit trail, and every clinician sign-off strengthens the platform and the companies built on it.
Compliance-as-architecture. Governance is not a checklist bolted on before launch — it is de-identification gates, immutable audit graphs, and license-gated runtimes designed into the stack from day one.
Our model is built to help founders move from research and prototypes into clearer positioning, stronger execution, and more investable company narratives.
How we work
- Validate promising ideas before founders waste time on the wrong roadmap.
- Build credible products in sectors where trust, evidence, and execution quality matter.
- Own the core engine: AlPa gives every venture the same governed, zero-cloud inference foundation.
- Support founders with technical and strategic depth instead of generic startup advice.
Infrastructure and product synergy
The technological synergy between AlPa and the clinical products is the core of the hub: one engine, many surfaces.
DiagFlow
The low-code clinical canvas on AlPa: governed medical vision workflows with de-identification gates, immutable audit graphs, and human-in-the-loop review.
Explore DiagFlowLotus Health
AI-assisted breast cancer imaging workflows and oncology decision support, running local inference through the AlPa runtime with clinician override by design.
Explore Lotus HealthEvolution timeline
From early infrastructure research to an AI-native venture builder with its own clinical product engine.
- 2022
Early infrastructure research
The earliest phase centered on experimentation, founder collaboration, and reusable technical building blocks — the instincts that would later shape AlPa.
- 2023
Studio operations
LOTUS CHAIN Hub formalized as a venture studio, combining technical execution with domain-specific positioning for founders in trust-critical markets.
- 2024
Applied AI focus
The portfolio sharpened toward healthcare workflows, diagnostic assistance, and AI-enabled services where research depth and adoption friction demand real execution.
- 2025
Clinical product engine
DiagFlow emerged as the governed workflow layer for medical vision AI; Lotus Health extended the stack into oncology diagnostic support.
- 2026
The dual-engine hub
AlPa ships as the standalone Edge AI inference platform (v1.0.0-Beta). The studio operates as a dual-engine entity: venture building on top, owned infrastructure underneath.
Team
Cross-functional expertise, one governed stack
AI infrastructure, clinical systems, and venture building — organized around the domains our products demand.
AI Infrastructure
Engine and platform builders
Systems engineers specializing in WASM/WebGPU runtimes, portable inference, and license-gated security — the team behind the AlPa engine.
Sepehr Dadgar Estakhri
CTO · AI Infrastructure
Technical lead across AI systems, product engineering, and domain-specific model development. Drives the AlPa runtime architecture and the WASM/WebGPU execution stack underpinning every hub product.
- Architected the AlPa runtime: one C/C++ core shipping as WASM and native builds with Dawn-backed WebGPU
- Leads governed model distribution and license-gated security engineering
- Deep focus on browser-first inference and edge deployment
Mosi
CEO · Venture Direction
Founder focused on venture direction, market framing, and building applied healthcare AI businesses with long-term conviction.
- Framed and operates the dual-engine hub model: studio plus owned infrastructure
- Directs venture intake, portfolio strategy, and market positioning
- Leads commercialization of the AlPa / DiagFlow / Lotus Health stack
Omid Abdol Rahmani
COO · Studio Operations
Operations lead focused on execution, coordination, and practical integration across healthcare and startup environments.
- Owns operational systems and cross-team coordination across three active initiatives
- Bridges healthcare procurement realities with startup execution pace
- Runs delivery discipline across the venture portfolio
Clinical Systems
Clinical domain and workflow experts
Domain expertise in medical imaging, oncology workflows, and clinical governance — translating evidence requirements into product architecture.
Studio Operations
Venture building and operations
The venture engine: validating ideas, building investable narratives, and supporting founders from prototype to market.
Advisors
We work with advisors across clinical practice, regulatory affairs, and distributed systems. Advisory engagements are structured and hands-on — the same high-trust standard we apply to everything we build.
Open advisory & co-builder roles
We are deliberately looking for cross-functional builders and advisors in the domains below. If one of these reads like your work, reach out through the founder pathway on the contact page.
AI Infrastructure Engineer (WASM/WebGPU)
Help push the AlPa runtime forward: WebGPU compute pipelines, WASM optimization, and portable model distribution for edge deployments.
Reach outClinical Systems Lead (Oncology Imaging)
Shape DiagFlow and Lotus Health clinical workflows: DICOMweb/FHIR integration patterns, radiology review ergonomics, and validation study design.
Reach outRegulatory & Compliance Advisor (EU AI Act / HIPAA)
Advise on compliance-as-architecture: governed AI deployment, SaMD classification strategy, and audit governance for medical AI products.
Reach outVenture Partner (Healthtech)
Work with studio founders on market framing, clinical pilot design, and fundraising for healthcare AI ventures.
Reach outBuilding in healthcare AI? Let's talk.
Whether you are a founder looking for a studio partner or a team evaluating our infrastructure, there is a pathway for you.