- Maker
- Glean
- Released
- Not yet confirmed
Strengths & weaknesses
- +Connects to 275+ enterprise apps with near real-time permission enforcement
- +Flexible deployment (SaaS, VPC, or self-hosted) with a choice of 35+ underlying models
- −Needs upfront setup and integration work across many source systems
- −Value depends heavily on how much of the enterprise stack you connect it to
Evaluation
Awaiting evaluationAnswer groundingw30—
Citationsw20—
Integrationsw20—
Governancew15—
Cost efficiencyw15—
w = weight, each criterion’s share of the overall score. How scoring works
- +Real-time web synthesis with inline, checkable citation links
- +Fast, research-focused interface built around multi-query workflows
- −Reasoning depth is shallower than frontier general-purpose models
- −Struggles with heavy document uploads compared to Claude or Gemini
- +Purpose-built, cited Q&A grounded strictly in your own uploaded sources
- +Generates useful audio-summary overviews from documents
- −Narrow by design; not a general-purpose assistant
- −Limited to what you upload, with no open web access
- +Runs efficiently on minimal hardware thanks to a mixture-of-experts design
- +Strong multilingual coverage across 48 languages, tuned for enterprise RAG
- −Limited public detail on training data and safety testing
- −Smaller enterprise track record than the largest cloud AI vendors
- +Deeply integrated with AWS Bedrock and the broader AWS stack
- +Competitive cost and speed for multimodal, high-throughput workloads
- −Trails frontier labs on the hardest reasoning benchmarks
- −Most compelling only if you're already committed to AWS