Forward Deployed Engineer - Strategic Account
Other Requirements:
Legally authorized to work in the United States
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Metal
Unify private capital data into an AI-ready context layer to get instant, cited answers and data-driven conviction across deals, models, and CRM records.
About Metal
Metal is an enterprise AI context platform engineered specifically for private capital firms, including private equity and private credit funds. The platform consolidates scattered organizational knowledge—such as confidential information memorandums (CIMs), financial models, diligence files, CRM entries, and email correspondence—into a unified, authoritative context layer. By creating a canonical record for every portfolio company and opportunity, Metal enables investment teams to make faster, evidence-backed underwriting and portfolio decisions without relying on memory or gut feeling. In practice, Metal automatically processes unstructured and structured firm data into an AI-ready Context Graph. When users query their data, the platform extracts and reconciles key metrics, ranking them by document authority, source recency, and document structure. Every output provides clear attribution, tracing numbers and statements back to the exact document and page number. Rather than forcing investment teams to abandon their current stack, Metal connects via open APIs and native Model Context Protocol (MCP) servers, letting teams bring unified context directly into Claude, ChatGPT, Copilot, or proprietary agents. The platform is primarily designed for private equity and private credit firms, investment committee members, deal leads, investor relations teams, and internal enterprise AI teams. These professionals leverage Metal to review underwriting cases ahead of investment committees, trace audited EBITDA figures, surface similar historical deals, and run investor relations workflows from a single, up-to-date repository. What sets Metal apart from general-purpose document search and direct MCP implementations is its domain-specific financial ontology and pre-structured architecture. Standard tools often re-read raw files on every prompt, leading to drifting answers and high token costs. Metal structures and reconciles data once, enabling token-efficient, consistent answers at enterprise scale while maintaining strict source permissions, SOC 2 Type II certification, and a commitment to never train on client data.
Metal pros & cons
Pros
- Structures and reconciles firm data once, significantly reducing token consumption and tool calls compared to direct MCP file querying.
- Every metric and claim traces directly back to the exact source document and page number.
- Native MCP server support allows seamless integration with frontier AI models like Claude and ChatGPT.
- Enterprise-grade security backed by SOC 2 Type II certification and GDPR compliance.
Cons
- Pricing is not publicly disclosed and requires booking a sales demo.
- Tailored strictly for private capital firms, making it unsuitable for general consumer or generic business use cases.
Metal use cases
- Private equity deal teams can review operating models and verify EBITDA adjustments ahead of Investment Committee meetings.
- Investment analysts can locate precedent transactions and find similar historical deals across the firm's archive.
- Investor relations managers can pull real-time portfolio metrics and relationship history from a unified view to run fund raises.
- Enterprise AI engineering teams at financial institutions can supply structured firm context to internal custom agents via open APIs.
Metal features
- chat-authored operational dashboards
- source-level permission preservation
- crm and cloud storage integrations
- open api for custom ai agents and workflows
- native model context protocol (mcp) server
- metric citation and page-level source tracing
- unified canonical company records
- ai context graph
Metal FAQs
What is Metal?
Metal is an AI context platform designed for private capital firms. It unifies scattered data from CRMs, diligence files, and emails into a single AI-ready Context Graph.
Which software integrations does Metal support?
Metal integrates with core enterprise sources including DealCloud, Salesforce, Affinity, SharePoint, Egnyte, and Outlook.
Can I use Metal with AI assistants like Claude or ChatGPT?
Yes. Metal provides a native Model Context Protocol (MCP) server and an open API, allowing you to connect structured firm context directly into tools like Claude, ChatGPT, and Copilot.
How does Metal handle data security and compliance?
Metal respects source-level access permissions and does not train AI models on customer data. The platform is SOC 2 Type II certified, GDPR compliant, and working toward ISO 27001 certification.
How does Metal ensure accuracy in financial metrics?
Metal reconciles values across systems and ranks data by document authority, source, and recency. Every answer links directly back to its original document and page number for verification.
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