Connect with us

Technology

Investment in Canadian fintech remained robust in a relatively weak year for global investment, KPMG Pulse of Fintech shows

Published

on

Canadian fintechs poised for further growth and investment in 2025

TORONTO, Feb. 18, 2025 /CNW/ – Investment in Canadian fintechs remained robust in 2024 despite a global drop in investment, KPMG International’s H2’24 Pulse of Fintech report shows.

A record US$9.5 billion was invested across 121 fintech deals last year, compared to US$1.1 billion invested a year earlier across 129 deals, according to data compiled by PitchBook. One large investment accounted for two-thirds of last year’s total – the US$6.3 billion take-private deal for Montreal-based Nuvei – the largest deal in Canada and second largest globally. A US$1 billion private equity investment into Montreal’s Plusgrade also helped boost last year’s total.

Stripping out the Nuvei and Plusgrade deals, total investment in Canadian fintechs – including venture capital, private equity and mergers and acquisitions – totalled US$2.2 billion last year, nearly double the year prior, and higher than the US$1.4 billion invested in 2022. That’s despite a drop in deal volume in the last six months of the year – with 45 deals in H2 compared to 76 in H1.

Canada’s fintech sector is punching above its weight globally, with strong interest from venture capital and private equity investors – significant achievement in a year where global investment was weak,” says Dubie Cunningham, a partner in KPMG in Canada’s Banking and Capital Markets Practice who leads technology transformation.

Ms. Cunningham notes five deals closed at US$140 million or more last year – four of which were private equity buyouts. “It’s clear that private equity firms see established Canadian fintechs as keys to their growth strategies, and we believe this trend is likely to continue this year. With a strong pipeline of startups, growth-stage companies and near-exit-ready players, investment in Canadian fintech in 2025 looks promising,” she adds.

Venture capital-backed deals

Venture capital investors poured more money into Canadian fintechs last year, investing a total of US$1.09 billion across 90 deals, compared to US$737.8 million invested across 103 deals in 2023.

In the second half of the year, venture capitalists invested US$744.9 million across 33 deals, compared to $340.5 million across 57 deals in the first half.

The three largest VC-backed investments last year included Neo Financial’s US$260 million Series D funding, led by a number of high-profile tech founders and entrepreneurs; a US$210 million convertible note financing round into Blockstream by Fulgur Ventures; and Koho’s US$140 million financing led by PROPELR Growth as well as Rockefeller Capital, Drive Capital, TTV, and BDC.

Corporate venture-capital backed investments totalled US$24 million across 19 deals last year, and mergers and acquisitions accounted for US$8.4 billion across 27 deals (including Nuvei).

Fintech investment trends in 2025

Georges Pigeon, a partner in KPMG in Canada’s Deal Advisory practice in Montreal, expects fintech investment activity to increase this year, with an uptick in go-private deals and fintechs acquiring traditional financial services providers.

“We’re seeing some publicly-traded fintechs contemplating privatization because it’s easier to manage growth without the regulatory burden of public markets. Also, the lofty valuations of 2021 have come down, and that’s proving difficult for fintechs that went public around that time, so they might be looking at the private market again,” Mr. Pigeon said.

“We’re also seeing more transactions where fintechs are buying incumbent players because they see it as an easier way to replace their tech stack, or they see a path to replacing the tech stack. We expect to see continued activity in these types of transactions,” he adds.

Deal type/stage

Vertical

32 late stage VC

34 cryptoasset/blockchain

27 early stage VC

19 AI/machine learning

26 seed round

14 payments

14 mergers and/or acquisitions

9 regtech

13 buyout/LBO

8 insurtech

5 angel investments

6 proptech

4 PE growth/expansion

3 wealthtech

28 other

Outlook for fintech sub-segments

For the third year in a row, the largest number of fintech investments was in the cryptoasset and blockchain vertical (34 deals in total). Fintechs in artificial intelligence (AI) and machine learning (ML) also drew investors with 19 deals, followed by the payments space, which garnered 14 investments.

Mr. Pigeon expects to see continued interest in those areas in 2025 – especially in AI and ML – but says investors will be more discerning about where they invest.

“Investors have capital to deploy in Canadian fintech, but fintechs will need to have a very strong value proposition to get funding,” he says. “The fintechs that can demonstrate an ability to solve a problem for financial institutions and their legacy technology, that can acquire and retain clients, and that report decent profits will be more attractive to investors,” he adds.

Ms. Cunningham agrees investors will be more selective in 2025 and expects fintech valuations to increase. She also says regtech will be a vertical to watch in 2025 because of increasingly complex and evolving regulations around anti-money laundering and environmental, social and governance factors.

Canada’s fintech ecosystem will see a market shift towards regulatory tech and ESG in 2025,” she says. “Other sub-segments such as neo-banks and insurtechs that continue to expand their product offerings will see growth as well. Overall, the market is well-positioned for strength this year, with valuations likely trending upward.”

About KPMG in Canada
KPMG LLP, a limited liability partnership, is a full-service Audit, Tax and Advisory firm owned and operated by Canadians. For over 150 years, our professionals have provided consulting, accounting, auditing, and tax services to Canadians, inspiring confidence, empowering change, and driving innovation. Guided by our core values of Integrity, Excellence, Courage, Together, For Better, KPMG employs more than 10,000 people in over 40 locations across Canada, serving private- and public-sector clients. KPMG is consistently ranked one of Canada’s top employers and one of the best places to work in the country. 

The firm is established under the laws of Ontario and is a member of KPMG’s global organization of independent member firms affiliated with KPMG International, a private English company limited by guarantee. Each KPMG firm is a legally distinct and separate entity and describes itself as such. For more information, see kpmg.com/ca 

For media inquiries:

Roula Meditskos
National Communications and Media Relations
KPMG in Canada
(416) 549-7982
rmeditskos@kpmg.ca

SOURCE KPMG LLP

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

Published

on

By

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

on

By

BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

Continue Reading

Technology

Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

Published

on

By

Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

Continue Reading

Trending