Market intelligence for public sector sales teams
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Phase I:
Month 2nd, 2027: Report on initial architecture and core mechanics of test environment and classifiers of AI agent behavior.
Month 6th, 2027: Report on scaling and AI agent interaction within the test environment.
Month 9th, 2027: Demonstration of a suite of stock AI agents.
Month 12th, 2027: Demonstration of test environment and AI agent behavior within the marketplace.
Phase II:
Month 2nd, 2027: Report on new capabilities and error function definitions.
Month 6th, 2027: Demonstration of human stock AI agents and report on human interaction simulation.
Month 12th, 2027: Report on dynamic behavior of AI agents in response to news events.
Month 15th, 2027: Report on modeling social interactions between AI agents.
Month 18th, 2027: Report on how latent AI preferences impact social interactions.
Month 21st, 2027: Final software delivery.
Month 24th, 2027: Final report.
The vendor will provide influence benchmarks for an artificial intelligence system. The benchmarking tool will evaluate how AI agents adapt, collaborate, or deceive within a simulated marketplace.
The work will involve developing a simulated market as a test environment for characterizing latent behavioral preferences in AI systems. The environment should support assessment of agent behavior and interactions under simulated market conditions.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.