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Maxim AI

by Maxim AI Inc.

System Card

OrganizationMaxim AI Inc.
Released2023-01
Architectureagentic-workflow / agent simulation and evaluation platform
DetailsMaxim AI focuses on agent simulation—running AI agents through thousands of synthetic scenarios to test reliability before production deployment. The platform covers pre-release prompt engineering, multi-turn agent testing, and post-release production monitoring. Backed by Elevation Capital ($3M seed). Founded by former Google and Postman executives Vaibhavi Gangwar and Akshay Deo.
Parameters—
Domainagent-memoryrag-retrieval
Open SourceNo
WebsiteVisit
agent-simulationsynthetic-testingmulti-turnmonitoringevaluation

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Long-Context Retrieval
1/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
603p
∞Bench
no data
Multi-Turn Recall
1/2
LoCoMo
74.442p
MemoryBank
no data
Cross-Session Memory
1/1
LongMemEval
74.944p
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
73.162p
HotpotQA
74.365p
Agent Task Memory
1/1
AgentBench-Mem
7226p
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Maxim AI vendor documentation; evaluated on HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (Stanford / CMU, 1809)Maxim AI vendor documentation; evaluated on MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (HKUST, 2401)Maxim AI vendor documentation; evaluated on AgentBench Memory Track (Tsinghua KEG, 2308)Maxim AI vendor documentation; evaluated on LoCoMo: Long-Term Conversational Memory Benchmark (Snap Research, 2402)Maxim AI vendor documentation; evaluated on LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Tsinghua KEG, 2308)Maxim AI vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)