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MIT Lincoln Laboratory Technographics
MIT Lincoln Laboratory Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by MIT Lincoln Laboratory and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3988 MIT Lincoln Laboratory employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that MIT Lincoln Laboratory has purchased the following applications: SAP Travel and Expense Management for Expense Management in 2011, New Relic APM for Application Performance Management in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems MIT Lincoln Laboratory is running and its propensity to invest more and deepen its relationship with SAP , New Relic 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 MIT Lincoln Laboratory revenues, which have grown to $9.73 billion 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 MIT Lincoln Laboratory 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.
MIT Lincoln Laboratory Tech Stack and Enterprise Applications
MIT Lincoln Laboratory ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Travel and Expense Management | Expense Management | ERP | n/a | 2011 | 2011 |
In 2011, MIT Lincoln Laboratory implemented SAP Travel and Expense Management for Expense Management to centralize expense capture and reporting across its administrative finance functions. The SAP Travel and Expense Management deployment was positioned to standardize expense submission and multilevel approval workflows while providing an auditable expense trail for research support and administrative teams.
Configuration focused on expense entry and approval routing, policy enforcement, and scheduled reporting capabilities typical of Expense Management applications. As part of the implementation MIT Lincoln Laboratory created daily SAP commit reports, labor reports, and monthly SAP expense reports, and configured automated scheduled report generation to provide recurring visibility into expense and labor postings.
Operational coverage included finance, accounts payable, and travel administration functions, with the SAP Travel and Expense Management application used to coordinate travel bookings, expense reimbursements, and internal labor expense reporting. The implementation emphasized functional workflows that connected expense capture to finance and administrative processes to reduce manual reconciliation and improve control over expense approvals.
Governance incorporated defined approval matrices, expense policy controls, and structured reporting cadence to support regular review cycles, with audit trail capabilities enabled within SAP Travel and Expense Management. Rollout and operationalization centered on embedding approval workflows and report distribution into existing finance and administrative processes to support month end and daily commit visibility.
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MIT Lincoln Laboratory ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| New Relic | Legacy | New Relic APM | Application Performance Management | ITSM | n/a | 2021 | 2021 |
In 2021, MIT Lincoln Laboratory implemented New Relic APM to monitor its public website. New Relic APM, an Application Performance Management solution, is instrumented on the laboratory website to capture transaction traces, error analytics, and performance telemetry for web applications.
The implementation centers on standard Application Performance Management capabilities, including application monitoring, distributed tracing, error analysis, and dashboarding. New Relic APM was configured to collect server and browser level telemetry and to surface slow transactions and elevated error rates to application owners and operations staff.
Operational coverage is focused on the public website as documented, with monitoring signals routed to web operations, site reliability engineering, and application engineering teams. Governance emphasized centralizing performance telemetry in New Relic APM to create consistent dashboards and incident signal routing, aligning the MIT Lincoln Laboratory New Relic APM Application Performance Management deployment with web operations and site reliability functions.
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IT Decision Makers and Key Stakeholders at MIT Lincoln Laboratory
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Financial Planning Manager | Manager | Finance | |
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Senior Accounting Officer and Accounting Services Leader | Manager | Finance | |
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IT Director, Enterprise Applications | Director | IT | |
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Chief Information Officer | CXO | IT | |
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Finance IT Team Leader | Manager | IT | |
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Financial Manager | Manager | Finance | |
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Finance Manager | Manager | Finance | |
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Business Manager | Manager | Operations | |
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IT Operations Manager | Manager | IT | |
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Procurement Assistant | Manager | Procurement | |
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Apps Being Evaluated by MIT Lincoln Laboratory Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| 2026-06-03 | MIT Lincoln Laboratory | Evaluated | Aras | Aras PLM Platform | Product Lifecycle Management | PLM and Engineering |
| 2025-09-15 | MIT Lincoln Laboratory | Evaluated | Palantir Technologies | Palantir Gotham | Analytics and BI | Analytics and BI |
| 2024-10-23 | MIT Lincoln Laboratory | Evaluated | Eyelit | Eyelit MES | Manufacturing Execution System | ERP Services and Operations |