IN THE FIELD GUIDE
seedinov
seedinov.com
SeedInov is a custom AI software development company with over 10 years of experience and 200+ projects delivered globally. They specialize in building production-ready AI solutions including LLM integrations, AI voice agents, and autonomous systems within 30-60 days.
THE PRODUCT, BEYOND THE PITCH
Automatically researched · Not editorially reviewed · Sources checked Sep 14, 2026
A good fit for
- Startups and enterprises seeking practical, scalable AI solutions that improve operations and user experience.
Know the limitations
Not confirmed yet.
What you can do
- Building AI MVPs, automating internal workflows, and modernizing legacy platforms.
Features
- Custom AI development using machine learning, large language models, and deep learning.
- LLM integration and retrieval-augmented generation (RAG) systems.
- AI voice agents and chatbots development.
Integrations
Not confirmed yet.
Platforms & data export
Not confirmed yet.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Step 1: AI discovery and feasibility study including business problem analysis and ROI projection.
- Step 2: Architecture and model design including system architecture, model selection, and API design.
- Step 3: MVP development with core AI features, cloud deployment, and iterative feedback over 4 to 6 weeks.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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Plan a switch from seedinov →What changed
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Updated: features, walkthrough
See recorded changes
featuresBefore: ["LLM integration and retrieval-augmented generation (RAG) systems.","AI voice agents and chatbots development."]
After: ["Custom AI development using machine learning, large language models, and deep learning.","LLM integration and retrieval-augmented generation (RAG) systems.","AI voice agents and chatbots development."]
walkthroughBefore: ["Step 1: AI discovery and feasibility including business problem analysis, data quality assessment, and AI feasibility study with ROI projection.","Step 2: Architecture and model design including system architecture, AI model selection or custom training, API design, and UI/UX wireframes.","Step 3: MVP development with core AI features, cloud deployment, frontend and backend development, and iterative feedback."]
After: ["Step 1: AI discovery and feasibility study including business problem analysis and ROI projection.","Step 2: Architecture and model design including system architecture, model selection, and API design.","Step 3: MVP development with core AI features, cloud deployment, and iterative feedback over 4 to 6 weeks."]