Pascal AI is context-driven AI infrastructure for institutional finance. A finance-native knowledge graph unifies a firm's data, research, and institutional knowledge. Investment teams get source-linked answers and purpose-built research agents inside Excel, PowerPoint, Word, and email.
Pascal AI is the context-driven AI infrastructure for institutional finance. It connects an investment firm's data, research, and institutional knowledge in one context layer, so investment teams can ask questions across everything the firm knows and get answers they can trace back to the source. Pascal works with institutions managing over $300B in assets.
The problem it solves
Institutional finance has plenty of data and increasingly powerful AI, but the two do not naturally work together. Firm knowledge is fragmented across systems, governed by complex permissions, and hard for AI to reach in context. The result is AI that lacks the context to produce reliable answers, analysts doing the work of connecting systems, sensitive information that cannot be safely exposed, and AI costs that rise quickly with usage.
How Pascal works
Sovereign Data Fabric. Pascal connects the firm's existing systems with licensed feeds and market signals, bringing proprietary information, external financial data, and real-time signals into one AI-ready context layer, while keeping the firm's data inside its security perimeter.
Cognitive Engine. A finance-native knowledge graph, document intelligence, and permission-aware access, which together let AI understand the entities, relationships, and documents behind a question.
Apps, Agents & Models. A model-agnostic orchestration layer routes each task to the model best suited to it. On top sit purpose-built agents for company research, earnings analysis, portfolio monitoring, and investment committee preparation. Firms can also build their own agents.
Pascal AI Workspace. Everything above reaches the analyst inside Excel, PowerPoint, Word, email, and the browser, with every output traceable to its sources.Answers and outputs include citations back to the underlying source documents, so analysts can verify the information behind them.
Deployment options
Available as SaaS, or deployed into the customer's own AWS account and VPC.
How customers buy
Through AWS Marketplace private offers, with pricing agreed per customer. Purchases can count toward committed AWS spend, including EDP commitments.
Highlights
Linked knowledge graph with fund-specific context delivers grounded, source-linked investment research for asset managers, hedge funds, and investment banks.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension: an annual license to the Pascal AI platform, billed in units. You commit to a 12-month term. The number of units is configurable, so pricing scales with the quantity you select. Final pricing is not fixed on the listing. Instead, you agree on it directly with the vendor through a private offer. This lets pricing reflect your firm's deployment model, whether managed service, private cloud, or on-premise. There are no separate tiers, usage add-ons, or instance sizes to choose between.
Top-of-mind questions for buyers
What does one unit of the Pascal AI Platform License represent for billing?
The listing bills in platform license units, with the count configurable at purchase. The exact scope of a single unit is set through the private offer agreed with the vendor. It reflects how you deploy the platform across your firm. Contact the vendor to confirm what one unit maps to for your setup.
Does my license cover any deployment model, including on-premise and private cloud?
Pascal runs as a managed service, inside your private cloud, or fully on-premise, with single-tenant isolation available. The annual platform license covers your chosen deployment. Because final pricing is set per customer through a private offer, it can reflect the deployment model your firm selects.
Are the research agents, connectors, and developer SDK included in the platform license?
The license covers the Pascal AI platform. That includes pre-built research agents, finance data connectors, the persistent memory graph, and Python and TypeScript SDKs. There are no separate add-ons or usage tiers on this listing. Confirm the exact scope of your deployment through the private offer with the vendor.
www.pascalailabs.com
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Vendor refund policy
All purchases are made through negotiated private offers and are non-refundable except as required by applicable law or as expressly agreed in the customer's contract. For any billing questions or refund requests, contact support@pascalailabs.com.
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Support
Vendor support
Support is provided by the Pascal AI team. Contact us at support@pascalailabs.com or via https://pascalailabs.com. Standard support includes onboarding and deployment assistance, configuration help, and email support during business hours (IST). Enterprise support levels and SLAs are agreed per customer contract.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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