Menturi
Typing Mind
TeamGPT
Baron AI
ChatBetter
Mando AI
ChatGPT
Mano
AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Menturi is an AI workspace for teams that brings leading models like ChatGPT, Claude, and Gemini into one place. Teams can collaborate in shared chats, control which models are available, and track usage and costs across employees. Menturi also connects to company knowledge in Google Drive, Notion, and Confluence, so answers can be grounded in your internal docs with citations. Itโs built for organizations that want to adopt AI across the team while keeping everything simple, secure, and cost-effective.
We are working toward SOC 2 Type II certification, and your data stays encrypted and private.
Menturi AWS LambdaNo Menturi videos yet. You could help us improve this page by suggesting one.
Menturi's answer
Menturi brings multiple top AI models (ChatGPT, Claude, Gemini, and more) into one shared workspace built for teams. You can connect your company knowledge (Google Drive, Notion, Confluence, etc.) so answers are grounded in your docs with citations. It also includes team features like shared chats, model controls, and usage/cost trackingโso AI adoption stays organized and affordable.
Menturi's answer
Menturi is ideal if you want your whole team using the best AI models without paying for separate subscriptions for each one. With Menturi, you get ChatGPT, Claude, Gemini, and more in a single workspace, plus the ability to connect Google Drive, Notion, or Confluence so answers can come from your internal docs with citations. Itโs a straightforward way to give everyone access to powerful AI while keeping costs simpler and typically lower than buying multiple tools.
Menturi's answer
Menturi is for teams and organizations that want practical, everyday AI use across multiple roles, especially knowledge-heavy work like support, marketing, sales, and product. Itโs also a fit for leaders, operations, and IT who need visibility into usage and spend while keeping workflows simple for end users.
Menturi's answer
Menturi started with a simple problem: teams wanted to use AI at work, but it quickly turned into managing multiple tools, logins, and subscriptions. At the same time, generic AI answers werenโt enough because they didnโt reflect the teamโs real docs and decisions. We built Menturi to put the top models in one place and connect them to your own knowledge base.
Menturi's answer
Menturi is built with Next.js on the frontend and a Node.js backend. We use PostgreSQL (Neon) as our primary database and Redis for caching and background jobs. The app is deployed on Vercel, and authentication and SSO are handled via WorkOS.
Menturi's answer
Menturi is used by teams at startups and small-to-mid-sized businesses that want a shared AI workspace across the company, including marketing, customer support, product, and operations teams.
Based on our record, AWS Lambda seems to be more popular. It has been mentiond 297 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / 3 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / 3 months ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / 3 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 4 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 4 months ago
Typing Mind - A Better UI for ChatGPT
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
TeamGPT - Intuitive GPT chat for your whole company
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Baron AI - Use ChatGPT in Any App, Natively on Windows, Mac, and Linux
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.