Introducing Instafind.ai:
Advancing Enterprise Search for the AI Era
Instafind is an advanced semantic and keyword search service that significantly enhances how businesses find and utilise information. Leveraging state-of-the-art AI technology, it enables natural language searching across multiple data sources, making information retrieval as intuitive as asking a question.
Meet the Team: Driving the InstaFind Revolution
Tianyi Wang
Tianyi has worked with some of Europe's leading startups for nearly 15 years as a full-stack developer and team lead (founding engineer at WayFlyer, third Engineer at WebSummit and built frontend team at Flipdish). Over the past year, he has moved towards building applications in the automation and efficiency space for Enterprise clients, where he has been leveraging the latest in LLMs and data integrations.
The Problem Instafind Solves
1
Inefficient Search
Traditional search methods are keyword-based and often miss relevant results
2
Lack of Natural Language Search
Current search tools don't align with natural language queries
3
Scattered Data
Employees struggle to find information across multiple data sources
4
Wasted Effort
Duplicated work and the inability to leverage institutional knowledge lead to unnecessary time and resource expenditure.
Instafind: Advanced Search for the AI Era
Unified Search
Connect multiple data sources - from cloud storage to messaging platforms - for seamless information retrieval.
Semantic AI
Leverage natural language understanding to surface relevant results, even for complex queries.
Hybrid Capabilities
Combine powerful semantic search with flexible keyword search to find exactly what you need.
Flexible deployments
SaaS
Private Cloud
On premise
The Technical Capabilities
1
Intelligent Indexing
Instafind uses advanced indexing algorithms to rapidly parse and ingest data from a wide range of sources.
2
Multi-modal ingestion
- Text files
- Audio files
- Video files
3
Natural language queries
Our search engine leverages generative AI to understand the intent behind user queries.
4
Hybrid Search
- Combining semantic and BM25 algorithms.
- Leveraging multi vector embeddings and re-ranking algorithms to provide the best search results
5
Multi-lingual
- Ability search content in multiple languages
- Cross-lingual, allowing queries in one language to find relevant content in others
Market Opportunity
- Growing demand for AI-powered search solutions
- Increasing need for efficient information retrieval in businesses
- Rising adoption of natural language interfaces
- Expansion of enterprise data across multiple platforms
Target Market
Ideal Customer Profile (ICP):
- Software development agencies building custom solutions for enterprises
- SaaS companies looking to enhance their products with advanced search capabilities
Secondary markets:
- Enterprise looking to build internal knowledge search tools
Business Model
- SaaS subscription for cloud-based deployment
- Licensing fees for on-premises installations
- API usage-based pricing for high-volume customers
- Professional services for custom integrations and support
Competitive Landscape
We have identified a niche in a somewhat busy sector of search and generative AI (RAG). There are existing players within this space, yet we see most competitors focusing on either traditional keyword search or depending on generative AI to generate answers for users. Our approch to combining traditional keyword and AI powered semantic search offers better search results.
Bringing Instafind to Market
1
Product Launch
Partner with software development agencies. We have talked to a few agencies who are interested.
2
Customer Acquisition
Leverage strategic partnerships, targeted outreach, content marketing, and referral programs to rapidly grow our customer base.
3
Ongoing Growth
- UK and Ireland.
- US
- Other European countries
- Australia and New Zealand
- Asia
- Africa
Revenue Projections
Spreadsheet provided
Funding Needs
Currently looking for €500k Angel investment to support go to market.