Siets.net team is looking for VC investors, understanding the value of originally designed, written from ground zero in C/C++ programming language, professionally designed search engine platform source code, including the web-scale capacity crawler software application source code.
Siets.net core search engine and crawler software source code key values for investors:
We are looking for technology investors ready to co-fund our business development plans based on this software.
Syndicated co-funding from more than one investor is welcome.
In 2018 we co-founded Contextprime SIA, a professional IT services company, that became profitable from year one and was providing software development services building search solutions for large customers in local market.
Today our search software is being used nearly by everyone who is using Internet in Latvia.
Among Contextprime SIA customers using our search software on their 365/24 mission-critical web properties, servicing the entire 2 million population in Latvia, are many leading businesses and organizations in our country:
Our company strategic business development plan is to transform our company from a local professional IT services company into the global product business company. To accelerate our growth, we are looking for partners and like-minded investors.
Our team today has seasoned search software engineers and business managers with relevant industry experience.
We were working together in tens of different customer projects. Among other projects, we have built two country-size Internet web search engines too.
Please visit Contextprime SIA website to learn more about our team members.
Most of my previously co-founded startup companies are sustainable business ventures today, run by professional business managers and profitable today.
I did help to hire different management and technical teams of employees per each of my co-founded startup companies, while having management board position myself during the first few initial years.
I had CEO, CTO, Management Board, Board of Directors and Advisory Board roles in the above listed 4 companies since 2006.
Typically I run the company product development and work at management position until the business becomes sustainable by revenues.
I did work at top management positions in other private companies and public sector organizations since 1991. Over my entrepreneur carrier I did help to establish close to 200 well-paid job positions in IT industry.
Welcome to download my Curriculum Vitae: Gints Ernestsons CV (PDF)
There are good opportunities for new products and new business ventures in the global search market today.
In contrast to "search is done" propaganda and market crowd-thinking manipulated by Internet monopolies, it is obvious that fast and relevant information search will be in growing demand by the increasing number of people living on the planet Earth.
Fast, relevant and reliable search is going to become even more crucial business need for companies and organizations with escalating volumes of digital data coming from smart phones, sensors, IoT devices, robotics etc.
Tracking of devices, processing of text-rich user messages, analyzing of security events, understanding of user activity generated log data and performing many other tasks will need super-efficient search software capabilities in massive data volumes.
Customers will be looking for scalable search engine software supporting variable data formats and high velocity transactions in distributed data store architecture in future.
Equally important will be natural language processing software offering to end-users the most easy and intuitive search method for information: in their own free text language.
Siets software technology has a good momentum and the right market time for a private investor or VC-backed business development in 2021:
There will be plenty of room for Siets.net as a unique and scalable search engine software in the future. Several decades of market growth are still ahead for all search product vendors.
Siets.net battle-tested and reliable software code is well-positioned for new product development in this growth market.
Standard investor package is available for qualified investors with good references on the web.
VC package for each of two business opportunities includes:
My task is to manage and lead the global business development strategy, ultimately in a CEO role in a new VC-backed startup.
I will promptly reply to any inquiries asking about our team and Siets search engine software technology details.
Please kindly let me know if you are interested to learn more about our team and business plan details.
Gints Ernestsons, Siets.net creator and chief architect
Please Contact Me
Siets search engine server software platform was designed and written in C/C++ using a combination of machine-learning, natural language processing, distributed computing and few other relevant data management techniques by Siets.net team of software engineers.
In software industry usually at least 5-10 years are needed until a new software platform for data management becomes mature and reliable code and is safe to operate in mission-critical customer business applications.
Siets.net software has gone through all product development stages since 2001. It was result of many years of software development, testing, documenting and product verification in the market. Among efforts invested were:
ScalingSearch underlying search software code base comes from Siets.net and has nearly 20-year maturity and rock-solid reliability for 365/24 operations.
Siets.net software was market proved in numerous customer use cases since 2002 running mission-critical online search services for web and mobile customers.
In addition to reliability, the software code was proved to be nearly linearly scalable at search performance while supporting Big data workloads with tens of billions of searchable objects.
Software supports generic clustering (sharding and replication) on a fleet of commodity servers by distributing the data storage and performing parallelized computing.
It enables customers to easily scale their solutions from a single server to a large cluster, using the total aggregated computing and data storage capacity in a large server farm.
Siets.net scalable search engine software platform code base with its rock-solid and fast search engine API functionality makes it nearly the perfect foundation for a new search software tool kit for software developers: ScalingSearch.
A new search engine toolkit product for developers can have a good opportunity to address an emerging cross-segment need of 3 large and growing markets:
Customers in above market segments commonly use search engine software for natural language processing, text analytics and search.
Diagram below shows the role of search engine tools being the most common "workhorse" software component in nearly all machine-learning, virtual agents, text analytics and NLP solutions:
ScalingSearch product as a software developer "workhorse tool" for search engine functionality would fit the market need in those growing market segments.
Developer's, working mostly in small groups of 2-5 people, are actively adding machine-learning based search tools to their solutions.
Containerization and virtualization enables easy distribution of pre-installed software without need to install and configure it manually.
ScalingSearch can be run as a pre-installed with search engine software Docker-container on premises or in the cloud in less than 5 minutes, required to buy the licence online, then download the container image file and then run it using standard container management tools on a developer's computer.
It's a great time-saver purchase for a software developer looking for tools on the Internet nowadays.
ScalingSearch as the latest search engine software product prototype in Docker-version can be evaluated in the upcoming ScalingSearch (www.scalingsearch.com) product, which Contextprime SIA developed as a search tool for developers (alpha-version for testing available), in mutual agreement with ex Clusterpoint IPR holders in 2020.
There is only one popular search tool kit widely used on the market today: ElasticSearch (built on open source Lucene search engine Java-written software code base).
There are also several outdated search software platforms offered by some legacy vendors (such as MS Sharepoint Search Server or Oracle Endeca) still in the market, but these legacy search platforms are gradually loosing market share and are being replaced mostly with ElasticSearch software or with cloud services running ElasticSearch software such as in Amazon AWS cloud today.
ScalingSearch, being a search engine software product similar by core search functionality to ElasticSearch, and written in faster C/C++ code base, has a potential to split the growth market segment of search tools between ElasticSearch code base platform and ScalingSearch software in future.
It's the right market time to enter this market segment with an alternative software product to ElasticSearch/Lucene software stack in 2021.
Recently ElasticSearch business changed the license from open source ALv2 (Apache Licence Version 2) to SSPL (Server Side Public Licence), essentially becoming commercial software vendor. It did not help ElasticSearch software that it started to battle Amazon for forking the code for Amazon AWS services in the court (source: The Register, Jan 21, 2021: AWS has been doing things that are 'just NOT OK since 2015,' says Elastic as firm yanks Apache 2.0 licence).
It created confusion in the market among developers and businesses using ElasticSearch, who mostly did not like the software licence change.
Facing unknown prospects of multi-year court process between Elastic and Amazon about licensing issues, even business owners started looking for alternatives to ElasticSearch.
ScalingSearch and ElasticSearch are two completely different software platforms, each with its own advantages and disadvantages.
Customers will chose the right tool for their use case if they can easily find the tool on the Internet and if they can save development time by using the downloaded tool.
ScalingSearch product is all about that: it helps developers to get their job done with the least of their effort.
The total market audience is more than 29 million software developers worldwide and growing year on year.
ScalingSearch product key competitive advantage is support for ACID-transactions, coming from Clusterpoint database innovations and being a unique feature in the search engine software world.
In contrast to multiple previous products, ScalingSearch is just an easy to download search engine core software code, stripped down from all overhead layers of cloud and database software. As a result, the product can be used as a scalable search engine tool kit by developers who need to add some decent search functionality to their application solutions.
A search engine software supporting ACID transactions is a novel concept.
Online sales of licences and related IT services. ScalingSearch is packaged for easy containerized deployment, so that individual software developers can download Docker-container on their PCs or laptops and instantly start to use it, using standard virtualization support on all modern computers.
A ScalingSearch business plan with 4-year Pro-forma financials requires the total investment of 250,000 Eur.
The money will be used to organize ScalingSearch product online web marketing and sales by Contextprime SIA team.
Reuse of existing corporate structure, technical support team, IT infrastructure, accounting and billing is planned for the product.
The investment money is on the low-side because most of the software R&D efforts were essentially done over many years before.
Break even in two years.
Initially proposed by Contextprime SIA for joint VC-funding in 2019, the plan has been changed in 2020.
The initial company business development strategy was to launch a search product business for global market using VC funding, with nearly all investment primarily required for the product web marketing and online sales.
Contextprime SIA has continued to grow its revenues from professional IT services contracts in 2020, gradually accumulating cash reserves for investments into own products.
Contextprime is going to implement ScalingSearch.com business plan using own revenues from other projects in 2021.
Pease contact me if interested to discuss private or venture capital investment proposals for joint project ownership.
Contextprime SIA is looking for venture capital to launch probably the most ambitious project of Siets.net team: a global web search engine service.
Digital advertising market worldwide hit about 330 billion annually in 2020. It is expected to grow for several more decades:
Increasing regulation and anti-monopoly efforts from the world's governments, as well as increasing privacy concerns, rampant ad-fraud and ad-blocking in oligopoly market makes it the right market time.
Very few vendors have own software technology to create and operate their own ranked web search index data as the most value generating business property.
Meta search engines, although mostly successful as businesses, cannot gain significant market traction depending on index data of web giants. Most of them specializes in privacy filtering that Google does not do.
Oligopolistic market situation, with Google market share close to 90% in web search.
Siets.net team has all the Internet crawling and search software technology and know-how of implementing web-scale projects to make it happen.
Over the last 3 years Contextprime SIA has built advanced next generation Crawler'2018 software, that has been already sold commercially for some customers.
Contextprime Crawler'2018 software can collect massive amounts of data from Internet, storing it in WARC data format like Internet archive does (www.archive.org), and using massively scalable OpenStack private cloud object storage software.
Siets.net search engine technology can provide a well-ranked by trainable machine-learning system search results like some Internet giants are doing with their own machine learning driven systems.
Innovative, engaging users to explore new linked web data knowledge, and very easy to use GUI visual search interface for Qwebby prototype has also been developed and can be demonstrated.
In short, Siets.net team has all software technology, relevant experience and prototype-readiness for a successful web search business venture.
A missing step delaying Siets.net team to launch a new web search engine for the global web search market, is the investment required to store the sheer volume of data collected from about 500 millions active websites and then operate it as a public and free web search service 365/24.
To overcome this barrier of entry, VC funding is required.
Qwebby.com as a new web search engine will be offering to digital advertising customers a new visual web search marketplace for ethical digital advertising without ad-fraud and ad-blocking revenue loss, with ranking policy preventing web search market abuse.
Customers mostly in SMB and SME segment, about 90 million companies worldwide.
Open ranking algorithm vs secrete algorithm of Internet giants. Application of proved cognitive neuroscience and psychology methods for linked web knowledge ranking and visualization in web search. New visual search interface.
Monetizing strategy through user search query driven context aware display ads, using interactive and easy to navigate network graph.
The business plan requires 1.5 million Eur VC round to launch the global service with millions of users, with the follow-up Series A round of another 5 million Eur later to monetize it through digital advertising.
Looking for investors considering a syndicated 1.5 mil Eur first-round, with the follow-up investment 5 mil Eur after the global web search service is launched and hit the first million of users.
Qwebby.com prototype can be demonstrated on the entire Wikipedia data corpus.
Qwebby.com business plan with 4-year Pro-forma financials is available for interested VCs and private investors.
Pease contact me if interested.