Executive Summary
Arasaka Corporation, a Tokyo-headquartered conglomerate specializing in advanced materials, cybernetic systems, and defense technologies, faced a critical inflection point. With 14 R&D facilities spanning Japan, the United States, Germany, and Brazil, their research teams were generating massive volumes of experimental data — but almost none of it was accessible across sites. Siloed systems, inconsistent data formats, and a patchwork of legacy tools meant that breakthroughs at one facility were invisible to scientists at another.
After deploying Uncountable as their unified laboratory informatics platform, Arasaka consolidated decades of fragmented R&D data into a single, AI-powered environment. The results were transformative: a 55% reduction in redundant testing, an 8-month acceleration in time-to-market for their next-generation composite materials, and a cultural shift toward data-driven collaboration across the entire organization.
The Challenge: A Data Empire Built on Silos
Arasaka’s R&D organization employs over 3,200 scientists and engineers working across disciplines that range from nanomaterial synthesis to biocompatible polymer development. Each facility had evolved its own data management practices over decades:
- Tokyo HQ relied on a custom-built LIMS from the early 2010s, with experiment logs stored in structured but proprietary formats.
- Night City (US) Advanced Materials Lab used a combination of Excel spreadsheets, shared drives, and a third-party ELN that had fallen out of vendor support.
- Frankfurt Cybernetics Division maintained rigorous documentation in PDF lab notebooks, but with no searchable database backing them.
- São Paulo Polymer Sciences Center had recently adopted a cloud-based ELN, but it was disconnected from the rest of the organization.
The consequences were severe. Arasaka’s internal audit revealed that approximately 22% of experiments conducted in any given quarter were near-duplicates of work already completed at another facility. Scientists routinely spent 15+ hours per week searching for relevant prior art across disconnected systems. Worse, promising formulation leads discovered at one site often took 6–12 months to surface at another — if they surfaced at all.
“We had world-class scientists doing world-class work in isolation,” said Dr. Hanako Arasaka, VP of Global R&D Strategy. “The irony was painful: we were a technology company that couldn’t get our own data to talk to itself.”
Why Arasaka Chose Uncountable
After a 9-month evaluation that included four enterprise informatics vendors, Arasaka selected Uncountable for several decisive factors:
- Unified Data Model: Unlike competitors that required separate modules for ELN, LIMS, and SDMS functionality, Uncountable provided a single platform that natively handled experiment capture, inventory tracking, formulation management, and analytical data — all within one connected data layer.
- AI-Native Architecture: Uncountable’s machine learning capabilities weren’t bolted on as an afterthought. The platform was built from the ground up to leverage structured experimental data for predictive modeling, formulation optimization, and anomaly detection.
- Migration Flexibility: Uncountable’s data engineering team demonstrated the ability to ingest and normalize data from Arasaka’s heterogeneous legacy systems — including the proprietary Tokyo LIMS, 40,000+ Excel files from Night City, and scanned PDF notebooks from Frankfurt — into a unified, searchable repository.
- Global Compliance: With operations spanning four regulatory jurisdictions, Arasaka needed a platform that supported 21 CFR Part 11 compliance, GDPR data residency requirements, and Japan’s APPI data protection standards simultaneously.
The Implementation: A Phased Global Rollout
Arasaka and Uncountable executed the deployment in three phases over 14 months:
Phase 1: Data Consolidation (Months 1–5)
Uncountable’s data engineering team worked alongside Arasaka’s IT organization to migrate and normalize historical data from all 14 facilities. This included:
- Ingesting 2.3 million historical experiment records
- Normalizing 847 unique material identifiers across facilities into a unified taxonomy
- Digitizing and OCR-processing 12,000+ PDF lab notebooks from the Frankfurt facility
- Mapping 340 distinct experimental workflows into standardized Uncountable templates
Phase 2: Workflow Activation (Months 6–10)
Scientists at all 14 facilities began using Uncountable as their primary experiment capture and formulation management tool. Key activations included:
- Real-time cross-facility experiment feeds, allowing researchers in Tokyo to see what São Paulo was testing that day
- AI-powered duplicate detection that flagged proposed experiments with >85% similarity to prior work
- Automated instrument integration connecting 200+ pieces of analytical equipment directly to the platform
Phase 3: AI Optimization (Months 11–14)
With a critical mass of structured data in the platform, Arasaka activated Uncountable’s predictive capabilities:
- Formulation optimization models trained on Arasaka’s proprietary data, suggesting next-best experiments
- Property prediction models that reduced the need for physical testing of intermediate formulations by 35%
- Cross-domain knowledge graphs that surfaced unexpected connections between cybernetics research and polymer science programs
The Results
Within 18 months of full deployment, Arasaka documented the following outcomes:
- 55% reduction in redundant testing across all facilities, saving an estimated $18.7M annually in materials, equipment time, and labor
- 8-month acceleration in time-to-market for the Arasaka NexGen-7 composite material line, which moved from concept to qualification testing in 14 months vs. the historical average of 22 months
- 3.2x increase in cross-facility collaboration, measured by the number of experiments that referenced or built upon work from a different site
- 92% scientist adoption rate within 6 months of activation, driven by Uncountable’s intuitive interface and the immediate value of cross-facility search
- 4 patent filings directly attributed to insights surfaced by Uncountable’s AI recommendation engine, connecting previously unrelated research threads
Looking Ahead
Arasaka is now expanding its use of Uncountable into manufacturing scale-up and quality control workflows, aiming to create a seamless data thread from early-stage research through commercial production.
“Uncountable didn’t just give us a better tool — it gave us a new way of thinking about R&D,” said Dr. Arasaka. “For the first time, our scientists can stand on each other’s shoulders instead of accidentally stepping on each other’s toes. That’s the difference between incremental improvement and genuine breakthrough.”
About Arasaka Corporation
Arasaka Corporation is a Tokyo-based multinational conglomerate with divisions spanning advanced materials, cybernetic systems, defense technologies, and financial services. Founded in 1919, the company employs over 85,000 people across 30 countries and invests $4.2B annually in research and development. Arasaka’s materials science division is recognized as an industry leader in composite materials, biocompatible polymers, and next-generation nanomaterials.
About Uncountable
Uncountable is the AI Platform for end-to-end product development. It captures, structures, and connects data across the lifecycle to create a unified data layer powering AI-driven innovation, productivity, and risk reduction. Uncountable operates globally, serving more than 150 customers across chemicals, advanced materials, consumer goods, food and agriculture, and pharmaceuticals.
