Sibli
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What is Sibli?
Sibli is an AI-powered investment research platform designed for institutional investors including global asset managers, pension funds, hedge funds, and financial institutions. The platform transforms investment views, forecasts, research, and logic into a structured insight-generating data asset that compounds existing knowledge. It uses generative AI, natural language processing, and deep-learning algorithms to process vast amounts of structured and unstructured data, finding relevant insights and delivering actionable research to fundamental and quantitative asset managers.
Key features include forecast management with centralization and full auditability, scenario analysis for modeling portfolio impact from macro or company-specific events, dynamic consensus comparison against analyst estimates, automated company scoring for qualitative assessment, controversy monitoring for tracking risks affecting holdings, automated research with event-driven alerts, and enterprise data readiness for delivering governed data into risk and analytics workflows. The platform ingests Excel forecasts without templates, maps causal relationships behind performance through causal discovery, and orchestrates AI-powered research through text parsing and agent chains.
Sibli is built for enterprise deployment with private cloud options in users' own virtual private cloud, API connectivity or Model Context Protocol integration for existing workflows, and seamless integration with proprietary forecasts, broker forecasts, analyst research notes, news, disclosures, investor call transcripts, financial data, consensus data, transaction data, and alternative datasets. The platform provides full auditable access with version-controlled data to track forecast quality, monitor drift, and compare to consensus across time.
The tool addresses cognitive overload for analysts processing massive information volumes, isolates models and views by connecting every Excel forecast into one structured data asset, and provides historical traceability with audit trails for analytics and accuracy benchmarking. It helps institutional investors secure an information advantage, reduce blind spots, and improve fund performance by delivering investable insights directly to portfolio managers and analysts.
Sibli pricing
Pricing model: Freemium
Sibli does not publish public pricing on its website. The engagement model consists of a paid trial followed by a licensing agreement. The platform offers fully configured solutions tailored to client needs. Deployment is available as private cloud in your own virtual private cloud (VPC) as a secure, scalable, fully managed solution. Each offering is unique and never redistributed to preserve information advantage and client IP. Contact required to start a conversation and identify opportunities for value creation.
Sibli pros
- Transforms investment forecasts into lasting data asset
- Ingests Excel financial models without templates or rework
- Causal discovery maps cause-and-effect relationships
- Full audit trails for forecast quality tracking
- Private cloud deployment in your own VPC
- API connectivity and Model Context Protocol integration
- Dynamic consensus comparison against analyst estimates
- Automated controversy monitoring for holdings
- Event-driven alerts tied to forecasts and views
- Works with global coverage without whitelist restrictions
- Customizable to any investment research workflow
- Processes all world news at scale
- Version-controlled secure data storage
- Supports both fundamental and systematic workflows
- Reduces cognitive overload for analysts
- Unifies disconnected forecasts into structured asset
- Level common assumptions across entire fund
- Identifies estimation accuracy for granular drivers
Sibli cons
- Enterprise-only pricing not publicly disclosed
- Requires paid trial before licensing agreement
- Built for institutional investors only
- No free tier available
- Custom deployment requires infrastructure setup
- Small company with only 5 employees
- Founded recently in 2022 with limited track record
- May require significant workflow integration effort
Frequently asked questions about Sibli
What is Sibli?
Sibli is a cutting-edge AI platform for institutional investment management that transforms investment views, forecasts, research, and logic into an insight-generating data asset. It uses generative AI, natural language processing, and deep-learning algorithms to process structured and unstructured data, delivering actionable research to fundamental and quantitative asset managers.
Who is Sibli built for?
Sibli is built for institutional investors including global asset managers, pension funds, hedge funds, and financial institutions. The platform is proven with leading investment teams globally and supports both fundamental and quantitative investment workflows.
How does Sibli process financial models?
Sibli's financial model processing ingests Excel forecasts without the need for templates or rework. It standardizes data and links it across holdings, portfolios, and timeframes, creating a unified structured asset from disconnected forecasts.
What is causal discovery technology?
Causal discovery maps the cause-and-effect relationships behind performance, giving investment teams a transparent view of the drivers that matter most. This helps identify which factors truly impact investment performance.
How is Sibli deployed?
Sibli offers secure, flexible deployment with private cloud options operating in your own virtual private cloud (VPC). It is a secure, scalable, fully managed solution. CIOs, portfolio managers, and analysts can access Sibli through an interface or internal systems.
What data sources does Sibli integrate?
Sibli integrates forecasts and research (internal financial forecasts, broker forecasts, proprietary analyst research and notes), text inputs (news, disclosures, investor call transcripts), and vendor data (financial, consensus, transaction, and alternative datasets) into a unified structured asset.
What use cases does Sibli support?
Sibli supports forecast management, scenario analysis, dynamic consensus comparison, company scoring, enterprise data readiness, alpha capture, automated research with event-driven alerts, controversy monitoring, and total portfolio approach to level common forecast assumptions across the fund.
How does Sibli provide auditability?
Sibli provides full auditable access with secure, version-controlled data. Users can track forecast quality, monitor drift, and compare to consensus across time. This addresses the lack of historical traceability in traditional forecasting methods.
How do I get started with Sibli?
Sibli offers solutions fully configured to suit specific needs. You must start a conversation with Sibli to identify opportunities for value creation. The engagement process includes a paid trial followed by a licensing agreement.
What makes Sibli unique?
Sibli is unique because of the combination of quality of produced insights and computational efficiency of the algorithm chains. This unlocks customization to any investment research workflow or philosophy and scale for processing all world news. Each client offering is unique and never redistributed, preserving information advantage and client IP.