San Francisco, 94114, CA,
United States
Model ML Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Model ML and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 75 Model ML employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Model ML has purchased the following applications: OpenAI Agents SDK for AI Frameworks and Libraries in 2025, GoDaddy Webmail for Collaboration in 2023, Framer for Web Content Management in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Model ML is running and its propensity to invest more and deepen its relationship with OpenAI , GoDaddy , Salesforce or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Model ML revenues, which have grown to $5.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Model ML intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| OpenAI | Legacy | OpenAI Agents SDK | AI Frameworks and Libraries | AI Development | n/a | 2025 | 2025 |
In 2025 Model ML deployed the OpenAI Agents SDK as a core component of its AI Frameworks and Libraries stack to automate investment research and end-to-end workflow orchestration for financial services firms. The deployment uses OpenAI’s API platform including GPT-4.1, OpenAI o3 and o3-pro model variants alongside the OpenAI Agents SDK and MCP tooling, providing the model and agent runtime foundation that powers Model ML’s production agents and internal automations.
At the implementation level Model ML implemented a dual-layer architecture, with an agent layer of purpose-built, finance-specialized agents and an application layer that exposes those agents to users and business workflows. The agent layer was tuned to parse both structured and unstructured financial data, understand schemas, generate and execute code for data retrieval, and chain multi-step tasks, while the application layer manages orchestration, user interaction, job scheduling and output formatting using the OpenAI Agents SDK.
Integrations were explicitly instrumented into vendor and enterprise data sources to enable autonomous workflows, including connectors to SharePoint, Capital IQ, FactSet, and Crunchbase, plus CRM records, emails, files, meeting transcripts and external data vendors. Agents are configured to pull data at scale from large tabular datasets, assemble analysis, and publish formatted deliverables such as PowerPoint decks to SharePoint, enabling cross-system orchestration and control tower style oversight across the firm’s digital estate.
Governance and rollout emphasized early consulting engagements to map high-value use cases and futureproof configurations, with Model ML helping clients reshuffle teams toward higher-value judgment roles and adopt an AI-native operating model. The company shifted from bespoke internal connectors to leveraging OpenAI’s Agent SDK and MCP connectors for agent loops, tool calling and guardrails, reducing maintenance burden while accelerating iterative releases and tighter feedback loops in product and operations.
Outcomes described by Model ML include autonomous end-to-end workflows that perform data gathering, analysis and presentation generation without human intervention, for example producing fully formatted quarterly earnings summaries and publishing them to SharePoint. The OpenAI Agents SDK underpins these capabilities, enabling agents that can run cyclical or event-triggered workflows and produce substantial deliverables, potentially as large as a 100-page PowerPoint created entirely by machine.
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Generative AI Platforms | AI Development |
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2025 | 2025 |
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Generative AI Platforms | AI Development |
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2025 | 2025 |
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ML and Data Science Platforms | AI Development |
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2025 | 2025 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| GoDaddy | Legacy | GoDaddy Webmail | Collaboration | Collaboration | n/a | 2023 | 2023 |
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Collaboration | Collaboration |
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2024 | 2024 |
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Collaboration | Collaboration |
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2024 | 2024 |
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Collaboration | Collaboration |
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2024 | 2024 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Framer | Legacy | Framer | Web Content Management | Content Management | n/a | 2024 | 2024 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Advertising Platform | CRM |
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2025 | 2025 |
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Marketing Automation | CRM |
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2024 | 2024 |
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Sales Automation | CRM |
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2025 | 2025 |
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Tag Management | CRM |
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2023 | 2023 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2023 | 2023 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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