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Agile dd for investors 4mn
- 1. www.agileDD.com Startup Tour, Paris, July 6st 2017 What ever is your business, structured information delivers reliable decisions
- 2. Whatever your activity, your success comes from your data © 2017 Agile Data Decisions – Confidential 2 This true also for any other industry
- 3. But, extracting information from unstructured documents is expensive and time consuming © 2017 Agile Data Decisions – Confidential 3
- 4. Our ambition is to automate the indexing process © 2017 Agile Data Decisions – Confidential 4 Using Machine Learning technology
- 5. SAVE MONEY Avoid populating databases manually GO FASTER From data to decision DE- RISK Using more verified information Creating value from dormant data assets © 2017 Agile Data Decisions – Confidential 5
- 9. 63
- 11. 85 52 78 52 99
- 12. iQC v1.0 has been successfully deployed 6 man - years of development Patent published on June 15th 2017 (USPTO) Launching partner Published white pages @ SEG, PNEC, EAGE © 2017 Agile Data Decisions – Confidential 12 Most promising IT&web startup 2017 by RUA Pioneering customer
- 13. Manual indexing OCR + Full text indexing OCR + Full text indexing + Machine learning Cannot process a lot of documents in a short period of time Cannot automatically extract metadata not previously known in lists, dictionaries, taxonomies ... Because the ML searches for context around the metadata, any text and numerical variable can be detected Based on ML, iQC exceeds manual and full text indexing © 2017 Agile Data Decisions – Confidential 13
- 14. SaaS+ business model © 2017 Agile Data Decisions – Confidential 14 revenuecost Nb customers Licence+maint+R&D Hybrid+ consulting SaaS + subscription SaaS on demand iQC for free • Customer pay per document and extracted information • In line with the cloud platform, internal or external • Pricing aligned on value creation • OPEX cost only, easy to be compared with the manual process cost • Collaborative learning models, we capitalize on customers experience • Open a market place for structured data exchange • Collaborative learning models, we capitalize on customers experience • Open a market place for structured data exchange
- 15. We need you to success! Pre-A $750k To develop our initial market on a fast track To support our early adopters To open additional industrial markets © 2017 Agile Data Decisions – Confidential 15
- 16. Founders Dr. Amit Juneja Innovator 16 years of experience in Data Science and ML Jacques Micaelli President 20 years of experience in IT Henri Blondelle CEO, Sales and Marketing 25+ years of experience in O&G data management Philip Neri Marketing & Investor relations Joe Johnston Geosciences Strong Team with complementary talents Independent advisors © 2017 Agile Data Decisions – Confidential 16
- 17. www.agiledd.com Most promising IT & web startup 2017 henri.blondelle@agiledd.com
Editor's Notes
- I would like to help you having more reliable decision using structured data today, My name is Jacques Micaelli, and I am the president of Agile DD
- Success comes from the ability accessing and valuating data. It is true for GAFA, NATU and any other industry as well
- But today 80% of the data are embedded in unstructured format. Preparing a wide range of data for analytics is a struggle that affects both business analysts and the IT teams that support them. It is expensive, slow and most of the time done partially because it is mostly a manual process
- Our ambition is to automatize this process using supervised machine learning systems
- Automation means it save OPEX, it reduce delays and Machine Learning means your decision is derisked because based on more qualified information
- To make that possible, we developed first a tool dedicated for oil well related documents.
- Able to classify the documents according a customer taxonomy
- And able to extract text or numerical metadata
- And alert in case of variability of the same information according to the source document
- Our version 1.0, an MVP for the Oil and Gas industry is well perceived, by our launching partner and early adopter CGG and the market. This version cumulate 6 man years of development. We have filed a patent, publish several scientic articles and RU Alliance who host us today awarded us with the title of Most Promizing IT and web startup in January this year
- The capacity to detect the pattern around a target metadata item allows us to make a more efficient cataloging compared to a full text indexing. ML detects a numerical variable such as a coordinate, a depth, a temperature using the context of the value which is not possible even with the best Full text indexing
- A SaaS model with some price advantage for customers ready to participate to the learning models development
- Join the team
- Contact the team