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Pascal AI - Context-driven AI for Institutional Finance

Pascal AI Labs · Finance & Accounting

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 2 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

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

Show the rest of the publisher’s description (10 more lines)

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

Highlighted by the publisher on AWS Marketplace.

Linked knowledge graph with fund-specific context delivers grounded, source-linked investment research for asset managers, hedge funds, and investment banks.

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Plans and pricing as listed

1 listed
Pascal AI Platform License
  • Units
$50,000.00
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

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.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
1 plan listed
Delivery
SaaS
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.
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.