#1Glean는 월간 방문 3,301,875, 전월 대비 성장률 +0.1%, 가격 문의 가격 모델을 기록합니다. nOps는 월간 방문 97,959, 성장률 +13.8%, Usage-based 가격 모델을 기록합니다.
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
| +1.19만 (+13.8%) |
| 주요 시장 및 점유율 | 🇺🇸 미국 (56.6%) | 🇺🇸 미국 (52.2%) |
|---|
| 월 직접 방문 수 | 262.87만 | 3.2만 |
|---|
| 사용자 평점 | 4.6 | 4.4 |
|---|
| 지원 플랫폼 | 웹사이트 | 웹사이트 |
|---|

자사 지식에 근거한 엔터프라이즈 AI
자연어로 질문하면 연결된 모든 시스템의 문서, 티켓, 위키, 메시지에서 인용이 포함된 답변을 권한을 지키며 생성합니다.
재사용 가능한 에이전트가 온보딩, 계정 조사, 장애 후속 조치 같은 다단계 업무를 여러 앱에 걸쳐 자동화합니다.
작업에 맞는 모델과 추론 수준을 자동 선택하고, 통제된 게이트웨이로 40개 이상의 LLM에 접근합니다.
사내 컨텍스트에 근거해 브랜드에 맞는 문서 작성, 회의 요약, 데이터 분석, 콘텐츠 생성을 수행합니다.
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
An autonomous engine maps your usage patterns hourly, buys the optimal mix of Reserved Instances, Savings Plans, and committed use discounts, and rebalances continuously to keep discounts high without locking you into long commitments.
See multicloud, Kubernetes, SaaS, and AI spend at hourly granularity, with business context, forecasting, anomaly detection, and unit economics that show what actually drives cost.
Allocate hourly AI spend to the model, account, team, customer, and feature behind it, covering providers such as Amazon Bedrock, OpenAI, Claude, and Cursor, with recommendations for token efficiency, model choice, and caching.
Track Effective Savings Rate, commitment coverage, and realized savings in real time, and route alerts and tasks into tools like Slack, Jira, Datadog, and Snowflake.
#1
회사 지식과 연동되는 협업형 기업용 AI 에이전트를 구축하지만, 기본 범용 검색 기능은 다소 덜 탄탄합니다.
특화 강점Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.

특화 강점Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.

특화 강점Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search.
권한을 인식하는 컨텍스트 그래프를 만들고 기업용 도구 간에 작업을 라우팅하지만, Glean보다 연동 가능한 도구 라이브러리가 작습니다.

특화 강점Windward is a Maritime AI™ platform that fuses multi-sensor maritime data with behavioral analytics to deliver mission-grade, all-source operational intelligence for defense, government, and commercial organizations.

기업 검색, AI 에이전트, 사내 학습을 결합했지만 Glean만큼 순수 전사적 검색에 특화되어 있지는 않습니다.

무료 / 오픈소스정교한 포트폴리오 도구를 내 손에 쥐여주는 AI 재무 어드바이저
특화 강점SymphonyAI builds vertical AI applications, agents, and copilots that are tuned to specific industries rather than left generic. Its Eureka AI Platform provides predictive modeling, a low-code agent builder, and prompt-based app generation on top of an AI-ready data foundation, while its industrial IRIS Foundry platform supplies data connectors, a knowledge graph, and pre-built agents for the plant floor.
특화 강점Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.
권한을 인식하는 컨텍스트 그래프를 만들고 기업용 도구 간에 작업을 라우팅하지만, Glean보다 연동 가능한 도구 라이브러리가 작습니다.
특화 강점Windward is a Maritime AI™ platform that fuses multi-sensor maritime data with behavioral analytics to deliver mission-grade, all-source operational intelligence for defense, government, and commercial organizations.
무료 / 오픈소스정교한 포트폴리오 도구를 내 손에 쥐여주는 AI 재무 어드바이저
특화 강점SymphonyAI builds vertical AI applications, agents, and copilots that are tuned to specific industries rather than left generic. Its Eureka AI Platform provides predictive modeling, a low-code agent builder, and prompt-based app generation on top of an AI-ready data foundation, while its industrial IRIS Foundry platform supplies data connectors, a knowledge graph, and pre-built agents for the plant floor.