Issue edition: 9
Total companies in my list: 45
All files: https://bit.ly/Daily5allfile
1. StackOne, Canterbury, United Kingdom 2023
https://www.stackone.com/
Enterprise, Big Data, $4M
What? Unified APIs to talk with disparate Apps
Why? Solving API system integrations and streamline processes
How? Translates API calls in real-time via pre-mapped unified APIs
Developed for human recourse and marketing
APIs for: HRIS, ATS, CRM, IAM and Marketing Integration. At present 50 integrations
Reason to be in CNW? Organizations increasingly adopt apps, there's a growing necessity for a standardized method for these apps to communicate, irrespective of the underlying technologies or protocols
2. Orchestra, London, United Kingdom, 2023
https://www.getorchestra.io/
Enterprise, AI/ML, $1.1M
What? Unified data orchestration
Why? Centralize the management of data product
How? Augmenting data warehouses. Engineers and Data Teams prioritize activities like Data Ingestion, Data Cleaning; and ML utilizing orchestration to manage additional tasks. This guarantees efficient and dependable deployment of data into production
Reason to be in CNW? Surge in demand for data-driven features driven by AI has multiplied, making it increasingly challenging for engineers to continuously update and comprehend the flow of data and processes, emphasizing the need for enhanced data organization capabilities
3. Palm Technologies, London, United Kingdom, 2023
https://www.usepalm.com/
Enterprise, AI/ML, $1.9M
What? AI powered Treasury software
Why? Inefficient cash management
How? Integrate banking, spreadsheets, Treasury Management Systems, and Enterprise Resource Planning software to produce a short-term (13 weeks) forecast. Utilize this integrated data to identify potential cash deficits and surpluses. Generate reports to analyse these forecasts and financial positions
Reason to be in CNW? Consolidate the data stored in silos between AR/AP, Treasury Sheet and Bank
4. Ferry, London, United Kingdom, 2023
https://www.deployferry.io/
Enterprise, AI/ML, $1M
What? AI-powered manufacturing intelligence platform
Why? Connect data silos and standardise it
How? Industrial automation systems, software, and platforms are integrated to generate digital replicas of factory operations. Data from PLCs, sensors, and on-site databases are visualized and analyzed for insights
Reason to be in CNW? Understand real-time production activities at both the individual SKU and batch levels
5. Spot.io, London, United Kingdom, 2023
https://www.getspot.io/
Enterprise, AI/ML, Yes(NA)
What? AI to simplify enterprise work task
Why? Save time and reduce repetitive work
How? Creating personalized logic workflows by integrating AI tools with databases, collaborative platforms, and workspace tools
Reason to be in CNW? Develop an AI to seamlessly integrate and leveraging your databases, websites, collaborative platforms, and workspace tools
Tejas Vaid
LinkedIn: https://www.linkedin.com/in/tejas-vaid/