Lamatic AI
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About
Lamatic AI is a managed middleware platform designed to streamline the creation, deployment, and optimization of AI agents. It functions as an end-to-end collaborative development environment where users can turn domain expertise into reliable agentic applications without managing complex underlying infrastructure. By providing a unified stack that includes a vector database, managed hosting, and edge deployment, it allows teams to focus on the logic and performance of their AI solutions rather than the technical overhead of AI engineering. The platform centers around a visual flow builder that allows for low-code/no-code development, though it remains highly extensible for developers through an SDK and GraphQL API. It integrates with over 300 text, image, and embedding models, alongside 100+ third-party apps and data sources. Users can select from "AgentKits"—pre-built solutions for RAG, document processing, and semantic search—then fine-tune them using built-in prompt, code, and test case assistants. Once built, flows are deployed on serverless architecture for edge performance and can be continuously monitored and optimized via real-time dashboards. Lamatic is primarily built for AI founders, software-as-a-service (SaaS) builders, and enterprise product teams who need to launch AI features rapidly. It caters to various roles including product managers who need to prototype quickly using templates, and engineers who require robust integration tools like webhooks and custom SDKs. The solution is also relevant for agencies and non-profits looking for a cost-effective way to implement complex generative AI workflows without hiring a full team of specialized AI researchers. What sets Lamatic apart is its "Lamatic Cycle" approach, which manages the entire lifecycle of an agent from design to production monitoring within a single interface. Unlike fragmented tools that require separate hosting, vector databases, and observability stacks, Lamatic offers a fully integrated middleware layer. This integrated approach claims to reduce development time and costs by up to 90%, offering features like request caching, automatic retries, and edge deployment that are typically difficult to implement in custom-built solutions.
Pros & Cons
Eliminates infrastructure complexity by providing built-in hosting and vector storage.
Reduces time-to-market with a gallery of pre-built templates for common AI tasks like RAG.
Supports global performance with edge deployment and request caching capabilities.
Integrates with over 100 external apps and data sources including Google Sheets.
Offers a startup program with up to $5,000 in credits for new AI-powered SaaS companies.
Free plan is limited to 100 daily API requests and 3 days of log retention.
The Starter plan restricts teams to a maximum of 5 active flows and 5 integrations.
Enterprise-grade security features like SSO and SAML are only available on custom plans.
Additional records and requests beyond plan limits require separate paid add-ons.
Use Cases
SaaS founders can utilize the visual builder to rapidly prototype and launch AI features like semantic search without hiring specialized engineers.
HR professionals can automate resume screening and candidate analysis by deploying a custom hiring agent that processes unstructured documents.
Marketing teams can build content generation agents that research the internet and produce blog posts in specific brand tones.
Software engineers can integrate complex RAG workflows into existing applications using the provided SDKs and GraphQL API.
Product managers can vectorize internal documentation to create internal assistants that provide precise answers to company-specific queries.
Platform
Task
Features
• visual flow builder
• request caching and retries
• real-time monitoring dashboards
• graphql api & webhooks
• pre-built agentkits
• 300+ text and image models
• built-in vector database
• serverless edge deployment
FAQs
What does a Lamatic monthly subscription include?
It includes all available managed integrations, a vector database, managed hosting, edge deployment, and an SDK with pre-built components. You also get access to a GraphQL API and chat support for your development needs.
Do I own the data and models used on the platform?
Yes, you own the models trained with your data and all related intellectual property. Your data is encrypted in the cloud, and Lamatic does not access it unless you explicitly grant permission for troubleshooting.
What is the cancellation policy for paid plans?
You may cancel your subscription at any time. Your access will continue until the end of your current monthly or annual subscription term, at which point it will terminate.
Does Lamatic offer services beyond the software platform?
Yes, Lamatic provides consulting, project management, and development services to help achieve GenAI objectives. While they do not provide full-stack development, they assist with user experience and vision realization.
How can I integrate Lamatic flows into my existing application?
You can integrate using their JavaScript, Next.js, or Python SDKs, or through direct GraphQL API and shell/curl requests. The platform also provides webhooks and stateful React components for faster implementation.
Pricing Plans
PRO
USD99.00 / per month• 100,000 requests / month
• Unlimited team members
• Unlimited flows
• 10 integrations
• 10,000 records
• 30 days of log history
• Remove Branding
• Guest Users
• Reports
• Schedule Data Syncs
ENTERPRISE
Unknown Price• Unlimited requests / month
• Unlimited team Members
• Unlimited flows
• Unlimited records
• Unlimited log history
• On Prem option
• Compliance & Enterprise SLA
• Multi-Tenant
• Enterprise API
• Dedicated Account Support
Starter
Free Plan• 3,000 requests / month
• 3 team Members
• 5 flows
• 5 integrations
• 1,000 records
• 3 days of log history
• 100 daily API requests
• Visual Builder Studio
• 300+ Text, Image & Embedding Models
• Community Slack Support
Job Opportunities
Founding Engineer - Full Stack
Build, deploy, and optimize reliable AI agents visually with a managed middleware platform that integrates 300+ models and simplifies serverless edge deployment.
Benefits:
Work in a leading AI application development platform
Learning and mentorship from founders
Exposure to cutting-edge technologies
Fully Remote setup
Employee Stock Options ( ESOP )
Show more details
Applied AI Engineer
Build, deploy, and optimize reliable AI agents visually with a managed middleware platform that integrates 300+ models and simplifies serverless edge deployment.
Benefits:
Work in a leading AI application development platform
Learning and mentorship from founders
Exposure to cutting-edge technologies
Fully Remote setup
Employee Stock Options ( ESOP )
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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