A scientific safety software platform for research institutions came to Armakuni for aI-led platform modernization: containerized infrastructure, GenAI chemical profile automation, and WCAG accessibility compliance.
The challenge
SciSure came to Armakuni after completing a Rackspace to AWS migration, needing a partner to take the platform from migrated to modernized. A containerization PoC expanded into a 4-SOW engagement spanning infrastructure, GenAI strategy, feature quality, and accessibility compliance, with Armakuni now operating as SciSure's embedded engineering partner across every modernization track.
Scale: Two platforms serving research customers across the U.S., spanning a legacy Drupal and PHP stack and a modern Vue.js stack.
What we built
Armakuni delivered aI-led platform modernization: containerized infrastructure, GenAI chemical profile automation, and WCAG accessibility compliance. The engagement ran as multiple fixed-scope SOWs: Containerization PoC, GenAI Use Case Discovery Assessment, Feature Audit, and Accessibility Remediation Pod. Accessibility runs on an embedded pod model (3 full-stack engineers, 1 QA engineer). AWS funded the work at $19K.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
Containerized architecture validated on Amazon EKS and Amazon Aurora MySQL. so every new customer onboards on automated, scaled infrastructure instead of the hand-configured VMs that had previously capped how fast the business could grow, with database operations now a commodity the platform absorbs rather than a tax on engineering.
5-to-60-minute manual chemical profile task converted into a funded GenAI implementation. with evaluated foundation models, a compliance-by-design architecture, and an executive-approved business case replacing what had been a permanent ceiling on catalog growth, and the implementation SOW starting from validated choices rather than a blank page.
Prioritized remediation backlog delivered in 2 weeks against a bug backlog that had been accumulating across Jira and Zendesk, shifting engineering. from chasing individual tickets to executing a sequenced plan of root-cause fixes, with rollback criteria on every item so the work is durable rather than temporary.
Quick-win mitigations delivered during the feature audit reduced customer pain within hours, through configuration changes, guardrails, and feature-flag adjustments. so SciSure's customers saw relief while the long-term fixes were being scoped rather than waiting on them.
27 accessibility defects on track for remediation across two platforms in parallel, with an embedded pod working inside SciSure's engineering cadence so WCAG 2.1 compliance lands ahead of the regulatory deadline rather than producing a last-minute compliance event, and the internal team ending the engagement stronger on accessibility than it started.
One AWS Premier Partner embedded across infrastructure modernization, AI strategy, engineering quality, and accessibility compliance. so every initiative runs through a single delivery team rather than requiring SciSure to coordinate specialists, with the relationship having grown from one containerization PoC into a sustained modernization partnership.
Built on AWS
The production environment runs on 8 first-party AWS services. Delivered under our AWS Migration and Modernization, Generative AI Services, DevOps Services competencies.
What's next
GenAI chemical profile tool implementation on Amazon Bedrock. Continued pod engagement for ongoing modernization work.