Each service has its own terms; the prop service uses demo accounts and is not a brokerage service.

Castries, Saint Lucia, October 28th, 2026 – Velaris Markets operates two services under one brand. Its brokerage offers CFDs on forex, indices, commodities and crypto on MetaTrader 5. Its prop service runs trading challenges on simulated accounts of up to $100,000: traders who pass and verify their identity receive a funded simulated account and 80% of the profit on that account, paid as a reward. Both services launched in July 2026.

Brokerage: two account types, no minimum deposit

The Standard account has spreads from 1.2 pips and no commission. The ECN account has spreads from 0.0 pips plus a commission of $7 per lot round turn on forex and metals. There is no minimum deposit. Leverage goes up to 1:200 on FX pairs and is lower on other asset classes. Clients deposit by card or in crypto (BTC, ETH, USDT, USDC). The client portal also offers copy trading, where a client’s own account follows a strategy provider, and Money Management (PAMM) pools run by pool managers.

Prop service: simulated accounts from $2,500 to $100,000

The prop service runs 1-Step challenges with account sizes from $2,500 to $25,000 and 2-Step challenges from $2,500 to $100,000, all on MT5, for a one-time fee starting at $29. There is no time limit to pass. A trader who passes and completes identity verification receives a funded account of the same size. Payouts run in 14-day cycles, and each payout request receives a decision within 48 hours. On the 2-Step challenge, the fee is returned with the first payout.

“Our experience in the industry shows that established firms in this business run both a brokerage and a prop structure, because together they build more trust in the brand,” said Yasen Dimitrov, Director of Velaris Markets. “A trader with a few hundred dollars has two options: trade that money directly, or pay a fee to prove a strategy on a larger simulated account. At Velaris the same trader can open a broker account with no minimum deposit, or start a $2,500 2-Step challenge for $29, where the most they can lose is the fee.”

Both services use the same support model. Live chat is open at any hour: an AI assistant answers first and hands over to the support team, which works Monday to Friday. The aim is to resolve the issue during the chat rather than open a ticket and reply later.

The brokerage is available at velarismarkets.com and the prop service at prop.velarismarkets.com. Neither service is available to citizens or residents of the United States or of sanctioned jurisdictions; the full lists are in each service’s terms.

About Velaris Markets

Velaris Markets Limited is a company incorporated in Saint Lucia in January 2026 under company number 2026-00083. It is not licensed by a financial regulator. Client funds at the brokerage are held separately from the company’s operating funds. The prop service is not a brokerage service and is not a regulated financial service; it is an evaluation program run on demo accounts.

San Francisco, US, October 28th, 2026, FinanceWire

FinSight Ventures Launches $100 Million Physical AI Index Fund, Targeting the Third Wave of Artificial Intelligence

FinSight Ventures, a global technology investment fund with $1B+ AUM and a portfolio of 13 unicorns, announced the formation of the FinSight Physical AI Index Fund — its second thematic index fund and the first institutional vehicle dedicated exclusively to the Physical AI segment that interacts with the physical world.

The Fund targets a concentrated portfolio of 10–12 leading companies across four Physical AI segments — Robotics, AI for Science, Foundation Layer, and Hardware & Infrastructure — with an aggregate target capitalization of $5.7T by 2031.

“Physical AI is not a trend, but the third structural wave of artificial intelligence,” said Alexey Garyunov, Founder and General Partner of FinSight Ventures. “Perception AI gave machines eyes and ears. Generative AI gave them language. Physical AI gives them agency in the real world. We are now at the same inflection point that defined OpenAI and Anthropic in 2019 — except what is being built is an order of magnitude larger.”

The Fund’s investment thesis rests on a structural labor shortage that no conventional policy instrument can address at scale. According to UN projections, the working-age population across East Asia, Europe, and the United States will contract by 342 million people by 2050 — a cohort representing approximately 55% of global GDP. Migration flows are slowing down. Labor participation rates in advanced economies have reached their effective ceiling.

“We modeled every mechanism available to close a 342-million-person labor gap,” said Garyunov. “Offshoring runs against reshoring policy — the CHIPS Act, the IRA, the EU Chips Act. Migration is contracting, not expanding. Labor participation in developed markets is already at 74–80%. The only channel with growing capacity is automation through Physical AI. This represents a demographic inevitability rather than a simple technology bet.”

Market Context

According to PitchBook data, Physical AI’s share of global venture financing has grown from 0.8% in 2016 to 12% in 2025, with investment volume rising from $2.0B to $64.7B over the same period and reaching $72.2B in the first half of 2026 alone. The top 20 global venture funds have completed 345 transactions in the segment since 2022, two-thirds of them after January 2024.

The humanoid robot fleet is projected to reach between 330 million and 1 billion units by 2050, displacing an estimated $19.8T in annual labor value. At a 15–20% revenue capture rate and a 7.5–10x P/S multiple, the Physical AI sector is projected to carry a market capitalization of $22–40T by 2050.

“The enabling technologies converged in 2023–2025,” said Garyunov. “NVIDIA’s Cosmos world models solved the data problem — robots can now train millions of times faster in simulation than in the physical world. VLA models solved the intelligence problem — a single model sees, understands natural language, and acts. The EV supply chain solved the cost problem. The infrastructure for a Physical AI industry is in place. What follows is deployment at scale.”

About FinSight Ventures

FinSight Ventures is a global technology investment firm founded in 2012, with offices in the United States, India, and Cyprus. The fund manages $1B+ in assets across a portfolio that includes 13 unicorns. Portfolio companies comprise Klarna, Uzum, Razorpay, Cashea, Rappi, Punto Pago, and more than 80 other companies. Last year, FinSight launched the FinSight Gen AI Index Fund, which invested in 13 companies that represent the American AI Sector including Together AI, Fin AI, Crusoe, Glean among others.

Contact

PR manager
Eugene Medvedev
FinSight Ventures
em@finsightvc.com
+48515264291

New York, United States, October 28th, 2026, FinanceWire

Led by Bessemer Venture Partners, the funding will accelerate Upwind’s cloud and AI security platform as enterprises face major infrastructure shifts and rising threats from AI-powered attacks and autonomous agents.

Upwind Security, the cloud and AI security company, today announced the close of its $400 million Series C funding round at a $3.8 billion valuation. The round was led by Bessemer Venture Partners, with participation from Canapi Ventures and existing investors Cyberstarts, Greylock Partners, Craft Ventures, Leaders Fund, Salesforce Ventures, TCV, Alta Park Capital, Penny Jar Capital, Cerca Partners, Swish Ventures, and Picture Capital. 

The announcement follows a period of significant growth for Upwind, which has quadrupled its revenue in 2026 as enterprises seek security platforms built for increasingly complex cloud environments and AI-driven workloads. The company’s valuation has increased substantially from its $1.5 billion valuation in its Series B round in January 2026.

“AI is fundamentally changing both the cloud infrastructure architecture and the scale of cyber threats and how organizations build and operate software,” said Amiram Shachar, CEO and Co-Founder of Upwind. “Context is key to managing internal and external risks, security teams need to understand how cloud, and AI interact in real time. We built Upwind to unify those signals and eliminate complexity, helping organizations identify their most critical exposures, fix risks proactively, and detect attacks as they happen.”

Security Built for the Agentic Era

The rapid adoption of AI is creating new challenges for enterprise security teams. Attackers use AI to increase the scale and sophistication of their operations, employees use large language models to build new applications, and agents are autonomously operating within the organization. The possibilities for new risks and threats are growing exponentially.

The traditional, fragmented approach to security creates silos, providing alerts without enough context to determine the intent behind an AI agent’s activity or whether a vulnerability creates a reachable exposure. Upwind takes a different approach by using runtime intelligence context across cloud workloads, APIs, and AI agents.

The company’s Cloud and AI Security Platform reshapes cybersecurity by working from the inside-out. The platform combines the context of a customer’s cloud workloads, APIs, and agents with runtime intelligence to give security, development, and DevOps teams a shared understanding of the most critical risks and reachable exposures, how to fix them, and to catch new attacks in real time. 

“Upwind gives us the exact visibility and context we need to stay ahead of cloud threats with complete confidence” says Tushar Dalvi, Deputy CISO at Confluent. “It has removed the complexity from cloud security to give us a clear, high-impact defense strategy with minimal overhead.”

To further meet the speed of AI risks and threats, security teams are amplified with specialized AI agents that investigate threats autonomously, act as a red team validating attack surface findings, and remediate risks in your infrastructure at machine speed, eliminating the heavy lifting of triage so teams can focus on judgement and response.

“Security needs to keep pace with environments that AI agents can change at a speed and scale that human teams alone cannot match,” Shachar said. “By combining real-time intelligence at runtime with the context needed to understand and remediate risk, we’re helping organizations move beyond alert management toward proactive security.”

Expanding Enterprise Adoption

Founded in 2022, Upwind was designed around the premise that cloud security must account for what is happening inside live environments, rather than relying primarily on periodic assessments and static snapshots. As enterprises modernize their infrastructure and deploy AI-powered applications, the company aims to provide a unified view of security risks across increasingly interconnected systems.

Upwind supports Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure. Through its integration with AWS Security Hub, customers can access Upwind directly within the AWS console, with simplified onboarding and unified billing through AWS.

The new funding will support the company’s continued product development and go-to-market expansion as it builds on its momentum with enterprise customers.

“Our investors have backed our vision and the traction we’re seeing in the market,” Shachar said. “This round gives us the opportunity to accelerate our momentum, expand our capabilities, and continue delivering the innovation customers need to secure cloud and AI infrastructure in the agentic era.”

“Upwind gave us visibility into what is actually running, not just what a scan found. That changed which risks we spend our time on.” – Michael Cannizzo, CISO of HedgeServ

“Setup only took days. What stood out after that was visibility into live workloads rather than a snapshot, and that redirected where our team spends effort.” – Russ Kirby, CISO of Ping

About Upwind Security

Upwind is the Cloud and AI security platform. Hundreds of organizations, including Siemens, Roku, Carvana, Nubank, Supabase, and ClickUp, trust Upwind to secure their cloud and AI infrastructure, applications, and agents. Upwind uses the context of your cloud workloads, APIs, and agents to give security, development, and DevOps teams the ability to fix the most critical risks and reachable exposures proactively while catching attacks in real time. To learn more, follow Upwind on LinkedIn, X, and YouTube.

Contact

Omri Hurwitz
omri@omrihurwitz.com