Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle.
๐ ๏ธ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale
๐ง Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes
๐ค Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs
๐ Observability: Log all interactions, use large-scale LLM quality evaluations
๐ฆบ Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention
๐ป Fine-tuning: Fine-tune proprietary LLM models to make them your own
โ๏ธ Air-gapped Solution: Dynamiq specializes in enabling clients that manage highly sensitive data to leverage LLMs while maintaining ironclad security thank to stringent security controls.
๐น๏ธ Vendor-Agnostic: Through integration capabilities, our clients can build GenAI applications using a variety of models from providers such as OpenAI and have the flexibility to switch to other providers if needed.
๐งฒ All-In-One Solution: We cover the entire GenAI development process from ideation to deployment
๐๏ธ AI Assistants: Equip your team with custom AI assistants that streamline tasks, enhance information access, and boost productivity
๐ง Knowledge Base: Build a dynamic AI knowledge base with our platform that streamlines decision-making, enhances productivity and allows employees to spend less time navigating through extensive company documents, files, and databases
๐ข Workflow Automations: Design powerful, no-code workflows that leverage your enterprise's knowledge to enhance content creation, CRM enrichment, and customer support
A startup from San Francisco, United States that is founded by Vitalii Duk.
Heads of: Data Science, Engineering, Innovation at big enterprise companies
Kubernetes, OpenAI, Anthropic, Cohere, Golang, Python
We have collected here some useful links to help you find out if Dynamiq.ai is good.
Check the traffic stats of Dynamiq.ai on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Dynamiq.ai on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Dynamiq.ai's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Dynamiq.ai on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Dynamiq.ai on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you know an article comparing Dynamiq.ai to other products?
Suggest a link to a post with product alternatives.
Is Dynamiq.ai good? This is an informative page that will help you find out. Moreover, you can review and discuss Dynamiq.ai here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.