S

Scylla

www.scylla.ai link_icon

Company Overview


Scylla Technologies Inc. is a leading provider of AI-powered video analytics solutions specializing in threat detection and video surveillance. Founded in 2017 and headquartered in Austin, United States, Scylla leverages advanced AI and computer vision technologies to detect objects, actions, and behavioral anomalies in real-time. Scylla’s product suite integrates seamlessly with existing security camera systems to enhance situational awareness and security response effectiveness.

Website: [Scylla AI](https://www.scylla.ai/)

Core Values and Ethics


Scylla is committed to developing AI solutions with a focus on three main values: Discipline, Collaboration, and Teamwork. The company adheres to strict ethical guidelines to ensure the responsible use of AI:
  • Free of Ethnic Bias: Scylla uses balanced datasets to eliminate bias in face recognition.

  • Protection of Privacy: No personal data is stored; compliance with legal requirements is ensured.

  • No Ethnic Identification: Their software does not identify or track ethnic or racial groups.

  • Sold for Ethical Use: Scylla conducts due diligence to prevent misuse of its software for human rights abuses.


Product Offerings


Scylla offers a robust suite of AI-powered video analytics solutions catering to various industry needs:
  • Gun Detection System

  • Perimeter Intrusion Detection System

  • Object Detection and Tracking

  • Anomaly Detection and Behavior Recognition

  • Face Recognition (Watchlist and Auto-Enrollment)

  • False Alarm Filtering

  • Crowd Management and Traffic Flow Analysis

  • Smoke & Fire Detection

  • Access Control

  • License Plate Recognition

  • Knife Detection System

  • Suspicious Shopping Behavior Detection

  • Camera Health Monitoring


Integration Capabilities


Scylla’s solutions can be integrated with:
  • CCTV Cameras: Compatible with most existing VMS and cameras, capable of filtering out up to 99.95% of false alarms.

  • UAV Cameras: Detecting small firearms at up to 50m with 4K drone cameras and up to 100m with 8K cameras.

  • Bodycams: Efficient tracking and detection in harsh conditions with analysis and response time of less than one second.


Leadership Team


  • Albert Stepanyan - CEO & Founder


  • Since 2017

  • Ashot Harutyunyan - CTO


  • Extensive experience in designing and developing enterprise software solutions.

  • Armen Gabrielyan - COO


  • Tatyana Kozlova - VP, Sales Enablement


  • Over 10 years of experience in sales, business development, and solution consulting.

  • Julia Titova - Chief Marketing Officer

  • Alfonso Lomeli - CFO

  • Kris Greiner - VP, Global Sales

  • Armen R. Kherlopian, Ph.D. - Board Director

  • Andrey Akopyan - VP, Customer Success

  • Davit Tumasyan - Managing Director at Scylla Armenia

  • Ara Ghazaryan - Technical Co-Founder and VP of AI


Industry Recognition and Awards


Scylla has been recognized for its cutting-edge technology and contributions to AI-powered security solutions:
  • Glendale Tech Week Pitchfest Award Winner

  • Top 10 International Startups Redefining the Future of Smart Cities

  • 17th Annual 2022 IT World Award Winner

  • Security Excellence Awards 2021 Winner


Investment and Funding


Scylla has received investment and support from notable venture capital firms and accelerators:
  • Hustle Fund

  • Startupbootcamp

  • Mucker Capital

  • BAJ Accelerator at the Jacobs-Technion Cornell Institute


Scylla’s mission is to create the best possible AI technology for video surveillance, aiming to protect human lives through advanced analytics and real-time threat detection. Their dedication to innovation, ethics, and collaboration positions them as a leader in the AI security industry.

Competitor Profiling


ScyllaDB is known for its high-performance, low-latency NoSQL database solutions, designed to be an alternative to Apache Cassandra. The following key competitors have been identified based on multiple sources:

Competitors Overview



1. Apache Cassandra
2. Amazon DynamoDB
3. Redis
4. Aerospike
5. MongoDB

Apache Cassandra


Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without any single point of failure.

  • Type: NoSQL Database, distributed, wide-column store.

  • Written in: Java

  • Developer: Apache Software Foundation

  • Initial Release: July 2008

  • Latest Stable Release: Version 4.1 (December 13, 2022)

  • License: Apache License 2.0

  • Features:

  • Distributed with high availability.

  • Support for clusters spanning multiple data centers.

  • Masterless replication to provide low latency operations.

  • Fault-tolerant and scalable.

  • Tunable consistency levels.

  • MapReduce support for Hadoop integration.

  • Introduced the Cassandra Query Language (CQL).

  • Commonly Compared Alternatives: ScyllaDB, Amazon Keyspaces, Bigtable, Datastax, HBase.

  • Industry Adoption: Trusted by companies with significant data scalability needs and real-time insights requirements.


Amazon DynamoDB


Amazon DynamoDB is a serverless, fully managed NoSQL database service that offers quick setup and almost immediate scalability with features designed for high performance.

  • Type: Key-value and document database.

  • Developer: Amazon.com

  • Initial Release: January 2012

  • Written in: Java

  • License: Proprietary

  • Key Features:

  • Built-in support for replication, autoscaling, encryption at rest, and on-demand backup.

  • Data stored in tables as items, each requiring a unique primary key.

  • Supports multiple data types including numerical, string, Boolean, document, and set data types.

  • Highly scalable with auto-scaling capabilities.

  • Provides high availability with data replication across multiple nodes.

  • Address high throughput needs efficiently.

  • Industry: Multiple use cases across mobile, web, gaming, ad tech, and IoT.

  • Notable Use Cases: Suitable for applications requiring low-latency and high-scale within the AWS ecosystem.


Redis


Redis describes itself as the world’s fastest in-memory database, often used for caching and real-time transactions.

  • Type: In-memory NoSQL database.

  • Developer: Redis Ltd.

  • Founded: 2011

  • Company Size: 501-1000 employees

  • Headquarters: Mountain View, California

  • Key Features:

  • Provides cloud and on-premises solutions.

  • Known for supporting caching, vector search, real-time analytics, and other high performance requirements.

  • Supports complex data structures like strings, hashes, lists, sets, sorted sets, bitmaps, etc.

  • Offers high availability through Redis Sentinel and automatic partitioning with Redis Cluster.

  • Industry: Commonly used in finance, e-commerce for high-speed data transactions and caching.

  • Recent Innovations: Continuous enhancements in real-time data processing, active geo-distribution, and vector similarity search functionalities.


MongoDB


MongoDB is a popular document-oriented NoSQL database platform that offers flexibility and scalability for diverse application needs.

  • Type: Document-oriented database (NoSQL).

  • Developer: MongoDB, Inc.

  • Founded: 2007

  • Headquarters: New York, NY

  • Licensing: Server Side Public License (SSPL)

  • Key Features:

  • Flexible schema design.

  • High availability with replica sets.

  • Scalability with built-in sharding.

  • Document model that maps to the objects in the application code, making data easy to work with.

  • Robust aggregation framework for advanced data processing and transformation.

  • Full-text search capabilities, supporting complex queries.

  • Acquisition and User Base: Broad adoption across varied industries, with significant popularity among developers for its ease of use and extensive community support.


Aerospike


Aerospike provides a high-performance, scalable NoSQL database designed for real-time, mission-critical applications.

  • Type: NoSQL, key-value store.

  • Developer: Aerospike, Inc.

  • Founded: 2009

  • Headquarters: Mountain View, California

  • Key Features:

  • Real-time performance with extremely low latency.

  • High scalability with consistent high throughput.

  • Utilizes hybrid memory architecture to leverage both in-memory and flash storage efficiently.

  • Built for mission-critical applications with multi-cloud capabilities.

  • Suitable for real-time fraud detection, recommendation engines, and other high-demand processing scenarios.

  • Industry: Trusted by firms in finance, ad tech, telecommunications, and gaming for their high-performance data management needs.


These competitors provide a diverse range of NoSQL database solutions with various strengths, including scalability, performance, ease of use, and real-time processing capabilities. This knowledge is crucial for identifying competitive advantages and gaps that ScyllaDB can exploit to position itself effectively within the market.