Decision Lens is the only FedRAMP approved Decision analytic and machine learning software in the market providing a unique set of capabilities to the public sector through their patented genetic algorithm based application that helps agencies prioritize their most important assets (e.g. budgets, programs, people, buildings, systems, capabilities), and allocate finite resources (dollars, people) against those priorities intelligently. Decision Lens has the approved Authorities to operate (ATO) and Certificates to operate in US Defense, Intelligence, Federal and public-sector entities and can be deployed in classified environments.


DL3 – SaaS, Web-based Software Solution for Prioritization and Resource Allocation


SEWP Contracts


Contract Number: Group A Small: NNG15SC03B Group D Other Than Small: NNG15SC27B Term: May 1, 2015 - April 30, 2020

Federal Contracts


ITES-SW Contract # W52P1J-15-D-0008 Term: March 2015 - March 2020


Archived Events


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Case Study

Air Force A8-XP Creates Efficient Collaboration by Utilizing Decision Lens

Customer Success Story

Organizations across industries receive maximum value from their portfolios using decision lens.

Solutions Brief

Decision Lens delivers the complete process for identifying, prioritizing, analyzing, and measuring which investments, projects, and resources will deliver the highest returns.

The Decision Lens platform is comprised of four powerful components that make it easy for you to prioritize and select your highest value projects and investments.


Download the report to learn about the prioritization of facilities needs, insights that are driven by analytics and more by Decision Lens.

Solution for Migration Planning, Prioritization, and Scheduling

Many depend on Decision Lens to help drive transparency, defensibility/auditability, and better collaboration into their respective toplevel strategic decision making processes.

Decision Lens is a cloud-based prioritization and resource allocation software solution for critical decision-making in many areas including IT portfolio planning, capital planning, budget allocation, and R&D.