Blaize Pitch Deck (2024): 28-Slide Breakdown

Blaize presents a mature, late-stage investor deck focused on the commercialization of its proprietary edge AI hardware and software stack. Having raised $335 million to date, the company positions itself as a high-performance alternative to traditional GPUs, specifically for video analytics and tactical security. The deck relies heavily on technical differentiation, showcasing a 3x advantage in TOPs efficiency and a 2x advantage in latency compared to standard GPUs. With a qualified pipeline exceeding $400 million and 56 patents, Blaize demonstrates significant market traction. However, the…

Key takeaways

• The company has raised a total of $335M to date as of the Q4 2024 presentation (Slide 4).
• Blaize claims a 3x advantage in TOPs efficiency and a 2x advantage in latency over traditional GPUs for video analytics (Slide 7).
• The sales pipeline is valued at over $400M in qualified opportunities with 10+ design wins (Slide 4).
• Their proprietary Graph Streaming Processor (GSP) architecture reduces memory bandwidth requirements by sending data to the next node immediately rather than batching (Slide 16).
• The company maintains a global footprint with offices in the US, UK, India, and UAE, supported by ~220 employees (Slide 4).
• The software stack includes three distinct products: a Software Development Kit, Picasso for video analytics, and AI Studio for no-code ML-Ops (Slide 19).
• Key strategic investors and partners include Samsung, Denso, Mercedes-Benz, and Franklin Templeton (Slide 4).
• The deck identifies a $71B Serviceable Addressable Market (SAM) by 2028 (Slide 4).

Frequently asked questions

What is the core technological advantage Blaize claims over competitors?

Blaize relies on its proprietary Graph Streaming Processor (GSP) architecture. Unlike traditional CPUs or GPUs that use sequential processing and require high memory bandwidth to store data while tasks complete, the GSP allows data to stream through the device, sending it to the next node as soon as it is ready. According to slide 16, this task-level parallelism results in higher efficiency, lower power consumption, and reduced memory requirements.

Who are Blaize's primary customers and partners?

The deck lists several high-profile investors and partners on slide 4, including Samsung, Denso, Mercedes-Benz, and Franklin Templeton. Their customer base includes 20+ companies in the proof-of-concept stage and 10+ design wins. Slide 22 also highlights key supplier relationships with major semiconductor industry players like TSMC, Samsung, Synopsys, and Cadence.

What specific hardware products does Blaize offer?

Slide 10 and slide 13 detail the hardware lineup, which includes the Blaize Pathfinder P1600 Embedded System on Module and the Blaize Xplorer X600M M.2 SFF Accelerator Platform. These are designed for edge systems, ranging from small-form-factor modules for drones and cameras to larger accelerator platforms for command center servers.

How does Blaize address the software side of AI deployment?

Blaize offers a full-stack solution. As shown on slide 19, their software suite consists of a traditional SDK for hardware/software engineers, 'Picasso' for product owners focused on video analytics optimization, and 'AI Studio,' which provides end-to-end ML-Ops for data scientists and non-coding users. This tiered approach aims to lower the barrier to entry for deploying AI on their silicon.

What is the current scale and reach of the company?

As of late 2024, Blaize employs approximately 220 people across a global footprint. Slide 22 shows their HQ and architecture teams are based in the US, while core engineering is located in India, and a dedicated AI Middle East division operates in the UAE. They also have a presence in the UK for auto and systems engineering.

Blaize pitch deck: the facts

Company

Blaize

Year

2024

Stage

Late Stage (Private)

Slides

28

Sector

Semiconductors / AI Infrastructure

Deck type

Investor Presentation

Headquarters

United States (with global offices)

Blaize pitch deck PDF

The full Blaize deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Blaize pitch deck was used for

This deck is Blaize’s 2024 investor presentation, used in the context of its late-stage private financing and planned public-market transaction, focused on edge AI computing semiconductors and software. The slides position Blaize as an AI computing innovator with a proprietary Graph Streaming Processor architecture and a full-stack hardware/software platform for AI inference at the edge, highlighting a $71B serviceable addressable market by 2028 and a $400M+ qualified pipeline of opportunities from security, enterprise edge AI, and autonomous systems end markets. The deck references $335M raised to date, consistent with external reporting that Blaize had cumulatively raised around $335M from strategic and financial investors including automotive and semiconductor players. External press in April 2024 describes a $106M funding round to support product development and commercialization across automotive, computer vision, AI inference, and generative AI segments, which aligns with the timing and themes of this investor presentation.

Business model: Blaize develops and sells AI computing solutions for edge and data center applications, combining proprietary semiconductor devices based on its Graph Streaming Processor (GSP) architecture with software platforms and SDKs for AI inference workloads.

Year

2024

Raised

106M USD funding round announced April 29, 2024.

Investors

Bess Ventures, Franklin Templeton, DENSO, Mercedes-Benz AG, Temasek, Rizvi Traverse, Ava Investors, BurTech LP LLC

Headquarters

El Dorado Hills, California, United States.

Industry

Semiconductors; AI edge computing / AI infrastructure.

Round: Late-stage private funding (following Series D), associated with Blaize’s edge AI computing growth and pre-public-listing phase.

Total funding: Blaize announced a $71M Series D round in July 2021, bringing total funding at that time to $155M. In April 2024 it secured an additional $106M funding round from existing and new investors. TechCrunch and other reports note Blaize has raised approximately $335M in total from investors including Samsung and Mercedes-Benz.

Use of funds as presented: Company statements indicate the capital will be used to finance product development and commercialization initiatives, with emphasis on expanding Blaize’s presence in automotive, computer vision, AI inference, and generative AI segments.

What happened after the Blaize deck

Following its 2021 Series D and subsequent funding, Blaize has continued to build its edge AI computing business around its Graph Streaming Processor architecture, securing $106M in 2024 funding and positioning itself for a public-market debut through a merger with BurTech Acquisition Corp., while highlighting a substantial pipeline of edge AI deployments and strategic customer relationships in au

• Closed a $71M Series D funding round in July 2021 led by Franklin Templeton and Temasek, bringing total funding at that
• Announced securing $106M in fresh funding in April 2024 from a consortium of existing and new investors including Bess V
• Public reporting indicates Blaize has raised about $335M in total and is preparing to go public via a merger with BurTec
• Press coverage and company communications describe a growing ecosystem of strategic partnerships, including deployments

What the Blaize deck got right

• Differentiated full-stack edge AI architecture built on proprietary GSP technology. The deck presents Blaize’s proprietary Graph Streaming Processor architecture, combined with accelerators, software, and platforms, as a full-stack solution optimized for AI inference at the edge, integrating silicon and software to deliver low-latency, power-efficient compute across security, monitoring, enterprise edge AI, and autonomous systems.
• Clear articulation of a large, focused edge AI market opportunity. Blaize’s 2024 investor materials highlight a $71B serviceable addressable market by 2028 for edge AI in security and monitoring, enterprise edge AI, and autonomous systems, which helps frame a large, specific opportunity space rather than a generic AI market claim.
• Substantial qualified pipeline and notable early deals. The deck underscores strong traction with a $400M+ qualified pipeline of opportunities and references significant defense-related purchase orders, which external reporting corroborates as part of Blaize’s investor pitch, signaling meaningful commercial engagement even if not all revenue is realized yet.
• Deep capital backing and strategic investor base. Blaize can point to $335M raised to date and a roster of strategic and financial investors including Mercedes-Benz, DENSO, Temasek, Samsung Catalyst Fund, and others, which supports the credibility of its technology and market positioning in a capital-intensive sector.
• Strong narrative connecting technical advantages to edge computing business value. The presentation emphasizes edge computing benefits—reduced latency, lower power consumption, cost efficiency, and improved data privacy compared with centralized cloud data centers—making the business case for deploying Blaize’s solutions close to data sources.
• Global footprint with tier-1 supply-chain and customer relationships. External descriptions of the deck mention a global footprint and tier-1 supply chain relationships, suggesting Blaize is already integrated into high-quality manufacturing and distribution ecosystems, which can be attractive for investors assessing scalability and reliability.

What could have been stronger

• Limited visibility into realized revenue versus large qualified pipeline claims. The deck highlights a $400M+ qualified pipeline of opportunities and references a large defense purchase order, but public coverage emphasizes that these are pipeline deals rather than realized revenue, and the deck (as described) does not provide detailed breakdowns of bookings versus pipeline or historical revenue trajectory, leaving investors to infer commercial maturity from limited data.
• Competitive performance claims are directional without comprehensive benchmarking in the deck. While the presentation claims that Blaize’s GSP-based solutions outperform GPUs and SoCs for edge workloads, publicly available materials do not show that the deck includes rigorous, independently benchmarked comparisons or detailed performance data across multiple models and workloads, which may make it harder for investors to objectively assess differentiation versus incumbent architectures.
• Operational and supply-chain details appear relatively high-level. The investor presentation references a global footprint and tier-1 supply chain relationships, but the excerpted slides and external articles do not indicate that the deck provides granular information on manufacturing partners, supply resilience, or unit economics, which can be important for late-stage semiconductor investors evaluating scalability and margins.
• Financial forecast and profitability path not clearly visible from described deck content. For a late-stage private company contemplating a public listing, the deck appears to lean heavily on market size (a $71B SAM by 2028) and qualitative positioning in edge AI, while externally available descriptions do not show detailed financial forecasts, path to profitability, or segment-level contribution, which could be viewed as a gap for diligence-focused investors.

How an investor would read this deck

What draws attention

• Blaize’s proprietary Graph Streaming Processor architecture and full-stack hardware/software platform for edge AI inference, positioned as more power-efficient and lower-latency than GPUs and traditional SoCs, will be central to assessing durable technical differentiation.
• The deck’s claim of a $71B serviceable addressable market by 2028 and $400M+ qualified pipeline, including a large defense-related opportunity, suggests significant upside but also calls for close scrutiny of deal quality, timelines, and conversion rates.
• Blaize’s funding history—$71M Series D in 2021 and $106M in fresh funding announced April 2024, with total capital raised around $335M—indicates substantial investor backing and capital intensity typical of semiconductor ventures, which investors must weigh against expected future capital needs.
• Strategic relationships with automotive and industrial players such as Mercedes-Benz and DENSO, mentioned as both investors and customers, can de-risk commercialization if accompanied by long-term deployment commitments and design wins.

Risks that stand out

• Large claimed pipeline and market size may not translate into near-term revenue or profitability if conversion rates, deployment timelines, or customer budgets fall short of expectations, especially for defense and automotive programs with long cycles.
• Semiconductor and AI acceleration markets are intensely competitive, with entrenched GPU and SoC vendors; Blaize’s success depends on its ability to demonstrate compelling, verifiable performance and cost advantages for edge workloads and to secure design wins against larger incumbents.
• Capital intensity remains high in this sector; despite raising approximately $335M, Blaize may require further substantial funding for R&D, go-to-market, and manufacturing scale-up, particularly if public-market conditions or SPAC transaction terms become less favorable.
• Reliance on a limited number of large strategic customers or defense-related projects could expose Blaize to concentration risk, regulatory scrutiny, and geopolitical factors that affect procurement and deployment timelines.

Questions this deck invites

• What is Blaize’s current and projected revenue split between automotive, security and monitoring, enterprise edge AI, and autonomous systems, and how much of the $400M+ pipeline is contracted versus non-binding opportunities?
• How do Blaize’s GSP-based chips and platforms perform relative to leading-edge GPUs and specialized SoCs across a representative set of edge AI workloads, using standardized benchmarks and independent validation?
• What are Blaize’s gross margin profile and unit economics for its edge AI hardware and software offerings, and how sensitive are they to foundry pricing, supply-chain constraints, and product mix?
• How firm and long-term are the relationships and contracts with strategic investors/customers such as Mercedes-Benz, DENSO, and other tier-1 partners, including any exclusivity, minimum-volume commitments, or co-development obligations?
• What is the company’s roadmap and timeline for a public listing, including the status of the SPAC merger referenced in external coverage, regulatory milestones, and readiness of financial controls and reporting systems for public markets?

What founders can take from the Blaize deck

• Clearly quantifying the serviceable addressable market (e.g., a $71B SAM by 2028 for edge AI across specific end markets) can help investors quickly contextualize the size of the opportunity, but such figures should be supportable and tied to concrete customer segments.
• Demonstrating a substantial qualified pipeline (over $400M) alongside examples of significant purchase orders, as Blaize does, can strengthen perceived commercial traction, though investors will probe how much is contracted versus prospective.
• Highlighting proprietary architecture (such as Blaize’s Graph Streaming Processor) and a full-stack solution that spans silicon, accelerators, software, and platforms can differentiate a semiconductor pitch from commodity hardware narratives.
• Including cumulative capital raised (e.g., $335M to date) and naming strategic investors like Mercedes-Benz and DENSO can signal validation and ecosystem strength, which is especially valuable for capital-intensive, late-stage hardware companies.
• Framing the value proposition in terms of edge computing advantages—low latency, lower power, improved data privacy, and cost efficiency—helps connect the technical story to concrete business and deployment benefits for end customers.
• Positioning the investor presentation to bridge private late-stage funding with an anticipated public listing, as Blaize’s 2024 materials do, shows how a deck can serve both as a fundraising tool and as preparation for public-market communication, provided it is backed by robust data and disclosures

Blaize pitch deck: common questions

What does Blaize do?

Blaize is a semiconductor and software company focused on AI inference at the edge, using its proprietary Graph Streaming Processor (GSP) architecture to deliver low-latency, power-efficient compute for applications such as security and monitoring, enterprise edge AI, and autonomous systems.

How large is the market opportunity Blaize claims in its 2024 deck?

According to its 2024 investor deck and TechCrunch’s coverage, Blaize is targeting a $71B global serviceable addressable market (SAM) by 2028 across security and monitoring, enterprise edge AI, and autonomous systems end markets. This figure is framed in the deck as the opportunity for its edge AI computing solutions rather than the broader AI market.

What traction and funding does Blaize highlight in the 2024 investor deck?

The 2024 investor presentation states that Blaize has raised $335M to date and has a $400M+ qualified pipeline of opportunities, which TechCrunch corroborates in its reporting on Blaize’s investor deck and upcoming public listing. Earlier press releases confirm a $71M Series D in 2021 and a $106M funding round announced in April 2024, supporting the cumulative capital raised figure.

What is Blaize’s core technology and how is it positioned versus GPUs and SoCs in the deck?

Blaize emphasizes its Graph Streaming Processor-based chips, accelerators, and software platforms as a complete edge architecture for AI, claiming task-level parallelism, flexible architecture for new models, and full-stack software including SDKs and code-free environments that can outperform GPUs and traditional SoCs on latency and power for edge workloads.

What fundraising round is associated with Blaize’s 2024 investor presentation?

In April 2024 Blaize announced it had raised $106M from a mix of existing and new investors, including Bess Ventures, Franklin Templeton, DENSO, Mercedes-Benz AG, Temasek, Rizvi Traverse, Ava Investors, and BurTech LP LLC, with the capital intended to fund product development and commercialization across automotive, computer vision, AI inference, and generative AI markets. TechCrunch further notes Blaize’s investor deck touts about $400M in pipeline deals and a planned public listing via a merger with a SPAC.

Sources

Funding and outcome facts on this page were researched on 2026-08-21 from the pages below.

• Blaize Secures $106 Million in Funding
• The first AI chip startup to go public in 2025 will be Blaize
• Blaize Technology News | Carahsoft
• Edge AI chip startup Blaize bags $71M in late-stage funding
• Blaize raises $71M for AI edge hardware - VentureBeat
• Blaize Announces Fiscal Year 2024 Financial Results
• AI Edge Chip Vendor Blaize Gets $71M in Series D Funding to Expand Its Edge, Automotive Products
• AI startup Blaize raises $106 million in funding

Blaize pitch deck slides

What each slide of the Blaize pitch deck says

Slide 2

Disclaimer Cautionary Statement Regarding Forward-Looking Statements This presentation (the *Presentation') contains forward-looking statements within the meaning of Section 27A of the US. Securities Act of 1933, as amended (the "Securities Act), and Section 21E of the US. Securities Exchange Act of 1934, as amended (the "Exchange Act) that are based on beliefs and assumptions and on information currently available to Blaize. including statements regarding the industry in which Blaize operates, market opportunities. and product offerings. In some cases. you can identify forward-looking statements by the following words: 'may." 'will" "could." 'would." *should." 'expect." 'intend." "plan," '…

Slide 3

The Right Platform For The Future Of Edge Al Computing Investment Highlights < fi%%fi Full-Stack Hardware and Software Solution Built for Al Inference at the Edge N QKQQ Intuitive Flexibility for Al and Related Workflows @\/ Targeting a $71B Global Serviceable Addressable Market by 2028, across Security & Monitoring, nHM Enterprise Edge Al, and Autonomous Systems End Markets & & AR Strong Traction with $400M+ Qualified Pipeline? of Opportunities A 2 @ Global Footprint with Tier 1 Supply Chain Relationships N ,@ $335M Raised to Date A Experienced Leadership with Blue-Chip Background blaize 1See slide "Tremendous Market Growth Across Al Deployment" for additional detail on SAM 2 See slide *Defi…

Slide 4

Strong Momentum and Technological Focus to Drive Accelerated Al Adoption Global presence, advanced IP, and market traction to propel growth Key Metrics and Market Stats Select Investors; Customersand Key Relationships Investors US-based wih offices in Patents & ie the UK, India = UAE 56 Applications 220 " ssns AVA | pee @ | Tf $ $ vo. GGY bpenso | @ 4 335m 718 Sores $400M+ Raised to Date rp Qualified Pipeline=of Customers & Key Relationships Opportunttis ACVEDIA DENSO kt ae | LO%omorure | 25% curareons —— + Soe slide “Tremendous Market Crouth Across AI Deployment for additonal deta on SAM 5 4 2 See slide ‘Definition of Terms’ Coppi Res Bie AR Ig) erescnea 1) blaze

Slide 5

Blaize - Life on the Edge Edge computing brings data processing closer to the devices that generate and use it reducing latency and improving real-time decision-making Blaize® has created a transformative new compute solution that unites silicon and software to optimize Al from the Edge to the core We're partnering with customers to transform their products so they can deliver better experiences and better lives gtlfézaem?r:?;ph el Blaize — Processor (GSP) T Accelerators + Software ; & Platforms Complete Edge Architecture Al Solutions Security & Monitoring Autonomous Syst

Slide 6

Edge Computing is the Future of Real-Time, Secure Data Processing Edge computing enables Al adoption across security, retail, autonomous systems, enterprise and more What is Edge Computing? Data is processed close to the source rather than in centralized data centers & o Public Cloud Centralized Data Centers Select Data Edge Server Edge Devices Edge Computing is More Efficient - Optimizes Time, Power, Size, and Cost B Low Power Reduced Data S Consumption Transmission Energy-efficient Lower data transfer operations. requiring volumes minimizing less power than costs for data within data centers transfer to and from data centers m Low Latency 'g Cost Effective Data Privacy Faster response Den…

Slide 8

Outperforming Competitors at the Edge Complete solution designed to lead across Edge applications Task Level Parallelism GSP architecture enables many tasks to be run concurrently without frequent trips to memory 1 1 } I ! ) I I 1 1 } I ! 1 ® ' Flexible : Architecture 1 Designed for the evolving Al ; landscape to support new models 1 } 1 1 1 1 1 1 } 1 1 without hardware redevelopment Full-stack . Software SDK, Vision-analytics optimization, and code-free environment options GPU Need large data sets and homogenous workloads Constrained by graphics legacy and proprietary APIs No code-free environment SoCs Can only handle specific tasks it was designed for Tailored hardware needed for differen…

Slide text above is read directly from the Blaize deck PDF embedded on this page.

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