Scalabl is purpose-built to tackle real-world enterprise AI challenges, excelling in environments demanding high precision, immense scale, and stringent compliance. Designed for mission-critical operations, it delivers reliable, trustworthy AI at the scale your business needs.
Turning complex disclosures into decision-ready insights. Scalabl automated the extraction of financial, ESG, and risk data across 10,000+ global issuers, parsing annual reports, investor presentations, and regulatory filings with entity-aware accuracy and taxonomy-aligned tagging (SFDR, TCFD, EU CSRD). Human-in-the-loop validation ensured precision on critical disclosures.
Clients cut manual review time by over 70%, gaining stronger audit readiness and broader data coverage.
Scalabl partnered with a leading global ratings provider to validate company-reported KPIs across 150,000 investor documents and multilingual web sources. Using a multi-LLM router, the platform extracted answers directly from filings, while a reconciliation engine flagged data mismatches within minutes. Human-in-the-loop sampling ensured audit-ready accuracy, with deliverables provided via API and Excel for seamless integration into client scoring pipelines.
Review cycles dropped from 12 weeks to under 2 weeks, while annual validation costs were reduced by 4 times.
Scalabl supported a global ESG ratings provider by validating company-submitted sustainability KPIs through a smart crawler that harvested more than 500,000 annual reports, policy statements, and press releases. The solution applied language-aware model routing for French, English, and German disclosures across three years, combined with prompt-engineered metric builders to meet expanding data needs. Human-in-the-loop validation and API-based delivery ensured accuracy and seamless integration.
The project achieved a nine-day turnaround while reducing data acquisition costs by 66%.
Latency falls from 3–7 days to < 1 day while season-long collection cost drops by 2×.
Scalabl enabled elastic ingestion of more than 100,000 disclosures with built-in de-duplication and language detection. Customized, indicator-specific prompts streamlined the extraction process, replacing the traditional two-step analyst workflow with a single-step validation function. Outputs were delivered as source-linked CSV and JSON files, ready for analytics teams to use immediately.
The client saved 55% of analyst hours and more than $1 million in costs, all while meeting a challenging seven-month deadline.
Scalabl is engineered to excel in high-volume environments where traditional AI systems struggle. It masterfully manages massive data volumes, delivers pinpoint accuracy, and enforces rigorous governance ensuring reliable, compliant, and impactful AI operations. Discover how Scalabl can unlock significant ROI in your data-driven processes.
