
LeftShift IT
closedContinuous Delivery consultancy specializing in containers, automation, testing and data management.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | Growth Equity VC | ||
Total Funding | 000k |
GBP | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | (55 %) | (24 %) |
EBITDA | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | - | 26 % | (43 %) | (52 %) |
Profit | 0000 | 0000 | 0000 | 0000 |
% profit margin | - | 28 % | (33 %) | (41 %) |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
LeftShift is a technology firm that has developed an AI-first Agentic Business Platform, positioning itself at the intersection of artificial intelligence and business process management. The company was co-founded by CEO James Donnelly and CTO Josh Denton. Donnelly brings 30 years of engineering and business experience, with a recent specialization in AI, including a CTO role at a global eCommerce logistics firm. Denton has 8 years of commercial engineering and team leadership experience, also sharing a background in AI R&D with Donnelly from a previous company.
The core of LeftShift's business is a platform designed to change how users interact with software, moving from traditional interfaces to a single, intelligent, conversational one. This platform uses a central AI agent to understand user intent, orchestrate the necessary tools, and deliver results. The business model appears to be scalable, catering to a wide range of clients from small businesses to large enterprises, likely through a tiered subscription or usage-based pricing structure.
The platform is built on five key pillars: a Universal Agentic Interface that acts as a conversational gateway; a Workflow Automation Engine with a visual, drag-and-drop interface for mapping business processes; a Prompt-Driven Analytics Hub for generating interactive dashboards from plain English queries; a suite of Integrated Business Tools (like CRM and project management); and a Living Knowledge Base that centralizes information. A significant feature is the use of multi-agent AI teams, where specialized agents collaborate to perform tasks such as system integration, data analysis, and workflow optimization. For integration, the platform offers no-code capabilities to connect with existing business systems, ensuring data synchronization across a company's technology stack.
Keywords: agentic business platform, AI business platform, workflow automation, conversational AI, business process management, AI agents, no-code integration, prompt-driven analytics, business intelligence, process optimization, James Donnelly, Josh Denton, enterprise AI, system integration, data analysis automation, AI orchestration, business software, intelligent automation, knowledge base management, AI-powered optimization