Stop Burning Patent Life on Manual Study Database Builds.
G-Flow compiles unstructured study protocols into production-ready Medidata Rave ALS files and CDISC SDM-XML schemas in under 24 hours—not 17 weeks. Keep clinical data locked safely behind your local firewall. Zero cloud leakage. Mathematically grounded compliance.
The Economic Patent Exclusivity Bottleneck
Traditional clinical trial database design is stalled by fragmented email chains and manual database configuration. Human translation toil is a bottleneck. Every single day of clinical trial startup delay costs blockbuster therapeutic programs up to $8,000,000 in peak-sale patent exclusivity. Compressing database design is your highest-leverage financial play.
Verify Source & Methodology
Source: Tufts Center for the Study of Drug Development (CSDD) analyses on Phase II/III trial delays, blockbuster daily peak revenues, and opportunity cost models.
Accumulating losses based on a standard 17-week startup latency.
OPERATIONAL AUDIT WIZARD
REAL-TIME ROI DASHBOARD
Combined manual labor reallocation and post-production error mitigation.
Based on a burdened architect rate of $95/hour.
Timelines compressed from weeks to sub-24 hour loops.
Estimated market opportunity value recovered based on $1.5M molecule value.
Based on human error variance mapping against modern FDA AI Action Plan credibility frameworks.
Sovereign Cohort & License Reservation
Sovereign License Slot
Register to join our private validation cohort. Securing your software slot grants you immediate access to the following deliverables:
- ✔ Software Activation Key: Sent via secure follow-up email to activate G-Flow on your own provisioned hardware once acquired.
- ✔ Hardware Spec Validation: 1-on-1 architecture review session to verify your provisioned hardware configurations (Dell GB10 configurations recommended) and network settings.
- ✔ Cohort Reservation: Secure one of only 5 grandfathered software activation slots in our current validation cohort.
G-Flow Product Architecture Highlights
On-Premise Secure Stack
Self-contained hardware appliance serving continuous batching and PagedAttention loops with zero external API dependencies.
- Dell Pro Max GB10 configuration
- 128GB high-speed Blackwell memory
- vLLM container orchestration
- Speculative decoding via 2B Gemma
- Outlines grammar-constraint engines
Regulatory AI Compliance
Aligned with the May 2026 FDA AI Action Plan. Cryptographic auditing and strict verification rules built into the compilation flow.
- Extractive Coordinate Grounding (charOffset)
- Scrum Consensus Gate (4-role approval)
- Local 31B Parameter Judge audits
- GitOps immutable change-control trail
- Fully compliant with 21 CFR Part 11
Oncology Validation Case
Real-world validation metrics on Cabozantinib vs. Belzutifan oncology trials containing complex visit branching.
- Ingestion of NCT04586231 protocol
- PaliGemma 2 Multimodal Parser
- Tables translated without row failures
- 10 pages of visit tables visual parsing
- 24-hour Medidata Rave ALS Export
Hardware Specification & TCO FAQ
What is the recommended hardware appliance?
We recommend the Dell Pro Max with NVIDIA GB10 micro-workstation. G-Flow is fully optimized to run locally on this compact workstation to maintain 100% data privacy and security.
What are the hardware specifications?
The target appliance configuration includes:
- CPU NVIDIA GB10 Grace CPU (20-core)
- GPU NVIDIA GB10 Blackwell GPU
- Memory 128GB LPDDR5X Unified Memory
- Storage 4TB M.2 2242 PCIe Gen4 TLC SSD
- OS NVIDIA DGX OS 7
- Chassis Dell Pro Max GB10 L6 Chassis
How much does the hardware cost?
The base hardware configuration from Dell retails for approximately $6,332.18. You can configure and purchase this system directly from Dell's enterprise channel (Dell Pro Max Configurator).
How does G-Flow licensing work?
We license the G-Flow Semantic Protocol Compiler software separately. Reserving a slot in our current Sovereign Cohort grants you a Grandfathered Software Activation Key. Once you receive your Dell Pro Max hardware, you load the G-Flow container and enter your activation key to begin local compilation.
What is the TCO compared to Cloud AI API solutions?
Deploying on-premise hardware eliminates recurring per-token cloud costs. For an organization processing 6+ protocols annually with active design iterations, G-Flow recovers the hardware investment ($6,332.18) within the first 14 days of operation, while preventing million-dollar IP leaks to external LLM providers.