Glyphic AI Pitch Deck: All 11 Slides + Teardown

Glyphic AI’s pre-seed deck is a masterclass in visual simplicity, focusing almost entirely on the product experience and its place within the existing sales tech stack. By raising $5.5M in 2024, the London-based startup demonstrated that a clear vision for AI integration can outweigh the need for dense financial slides in early-stage rounds. The deck emphasizes three core pillars: call preparation, effective follow-ups, and CRM data synchronization. While it lacks traditional slides for team, market size, and competition, it compensates with high-fidelity UI mockups and a clear integration ma…

Key takeaways

• The deck focuses heavily on the product workflow, specifically highlighting call preparation and CRM syncing on slide 4.
• Glyphic identifies as an 'AI Copilot' that provides users with information when they need it, as stated on slide 2.
• The company positions itself as a solution to data silos by integrating with eight major platforms including Salesforce, HubSpot, and Slack on slide 5.
• The deck omits a dedicated team slide, suggesting the founders may have relied on external reputation or supplementary materials.
• There is no explicit 'Ask' slide detailing the $5.5M raise or how the funds will be allocated.
• The visual narrative centers on making sales teams 'superhuman' by automating manual data entry, according to slide 1.
• The presentation lacks market sizing (TAM/SAM/SOM) and competitive analysis slides.
• Product utility is demonstrated through three specific use cases: Prep sheets, follow-up messages, and CRM insights on slide 4.

Frequently asked questions

How much did Glyphic AI raise with this deck?

According to publisher-reported facts from Business Insider, Glyphic AI raised $5.5M in a pre-seed round in 2024. Interestingly, the deck itself does not mention the specific dollar amount or the terms of the raise, which is common for decks intended for initial pitches where the 'ask' is discussed in person.

What is the primary problem Glyphic AI claims to solve?

Based on slide 5, the primary problem is 'data silos.' The deck argues that sales teams are currently working for their data rather than the data working for them. Glyphic aims to solve this by capturing data from all sources to identify unique insights about buyers and processes.

Which integrations does Glyphic AI support?

Slide 5 displays logos for eight major integrations: Salesforce, HubSpot, Pipedrive, Slack, Outlook, Gong, Google (G-Suite), Zoom, and Microsoft Teams. This suggests the product is designed to sit on top of the existing sales and communication stack rather than replacing it.

Does the deck include a team slide?

No, the provided 11-slide deck does not include a team slide. While the publisher notes the company is London-based, the deck relies entirely on product value propositions and UI mockups. In a pre-seed round, this usually indicates the founders have a strong enough pedigree that the product vision takes center stage.

What are the three main features highlighted in the deck?

Slide 4 outlines the core workflow: 1. Call Preparation (data-driven sales playbooks), 2. Effective Follow-ups (suggesting collateral and auto-generating messages), and 3. Data Syncing (magically syncing insights from calls directly into the CRM system).

Glyphic AI pitch deck: the facts

Company

Glyphic AI

Year

2024

Stage

Pre-seed

Slides

11

Sector

AI / Sales Tech

Deck type

Pre-seed Pitch Deck

Outcome

$5.5M Raised

Headquarters

London, Europe

Glyphic AI pitch deck PDF

The full Glyphic AI 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 Glyphic AI pitch deck was used for

This deck is Glyphic AI’s pre-seed fundraising deck for an approximately $5.5M round announced in June 2023 and described in later materials as a 2024 pre-seed used to build an AI copilot for sales teams.[1][3][5][6][10][11][12] The London-based company, founded in 2022 by ex-Google DeepMind researchers Adam Liska and Devang Agrawal, positioned itself as using large language models on private, dynamic sales data to guide reps through the full customer cycle.[7][8][9][10][11][13] The round was led by Point72 Ventures with participation from The Creator Fund, Dhyan Ventures (Amar Shah) and several well-known AI and product leaders as angels.[1][3][4][5][6][11][12][15] The teardown concerns the product-centric deck used around this pre-seed raise, before the company later rebranded to Airspeed and raised a $20M Series A in 2026.[8][9]

Business model: B2B SaaS platform selling an AI copilot that analyzes customer interactions (calls, emails, CRM data) to provide tactical and strategic insights for B2B sales teams.[1][3][6][10][13]

Round

Pre-seed[1][2][3][4][5][6][10][11][12][15]

Raised

$5.5M[1][2][3][4][5][6][10][11][12][15]

Lead investor

Point72 Ventures[1][3][4][5][6][11][12][15]

Investors

Point72 Ventures[1][3][4][5][6][11][12][15], The Creator Fund[1][3][4][5][6][11][12][15], Dhyan Ventures (Amar Shah)[1][3][4][5][6][11][12][15], Mehdi Ghissassi (Head of Product at Google DeepMind)[1][3][4][5][6][11][12][15], Rushin Shah (Director at Google Bard)[1][3][4][5][6][11][12][15], Joanna S.[11][12], Sebastian Ruder[11][12], Simon D.[11][12]

Founded

2022[8][9][10]

Founders

Adam Liska[7][8][9][10][12][14], Devang Agrawal[7][8][9][10][11][13]

Headquarters

London, United Kingdom[1][3][4][5][8][9][10]

Industry

Artificial Intelligence; Sales Tech / Revenue Operations[1][3][4][5][6][8][9][10][14]

Year: 2023 (announcement in June 2023, though later summaries sometimes reference it as a 2024 pre-seed).[2][3][4][5][10][11][12][15]

Raising: $5.5M pre-seed to build and launch an AI copilot that reinvents how sales teams work by turning fragmented customer interaction data into tactical and strategic guidance.[1][3][5][6][10][11][12][13]

Total funding: $5.5M pre-seed (later total raised reported as >$25M after a $20M Series A under the new name Airspeed, but this deck relates to the $5.5M pre-seed only).[1][2][3][4][5][8][9][10][11][12][15]

Use of funds as presented: Build the AI copilot product, including ingestion of customer interaction data across channels, development of LLM-based analysis on private and dynamic data, and initial go-to-market to transform how sales teams operate.[1][3][5][6][10][11][12][13]

What happened after the Glyphic AI deck

Following its $5.5M pre-seed round for an AI sales copilot, Glyphic AI continued to build out its product, formed data partnerships, later rebranded to Airspeed, and secured a $20M Series A to expand an agent-native execution layer for revenue teams.[1][3][5][6][8][9][10][11][12][13][15]

• Closed a **$5.5M pre-seed round** led by Point72 Ventures with participation from The Creator Fund, Dhyan Ventures (Amar
• Launched publicly out of stealth as an **AI copilot for sales teams**, emphasizing use of LLMs over private, dynamic sal
• Announced a **partnership with Crunchbase** to supercharge its AI copilot using company and market data, shortly after t
• Rebranded later to **Airspeed** and raised a **$20M Series A** in 2026 led by DN Capital, positioning the product as an

What the Glyphic AI deck got right

• Exceptional AI-native founding team from DeepMind and top tech firms. The founding team comprises former Google DeepMind researchers with deep expertise in large language models and applied AI, plus experience building AI-augmented products at companies like Apple and Spotify, which is a strong credibility signal at pre-seed.[7][8][9][10][11][13][14]
• Compelling problem–solution fit in a massive B2B sales productivity market. Glyphic attacks a large and enduring pain point—fragmented customer interactions and manual, inefficient sales workflows—by positioning an AI copilot that plugs into existing sales tools and guides teams across the entire customer lifecycle.[1][3][5][6][8][9][10][11][13]
• High-quality investor syndicate and substantial pre-seed round. The company raised a sizeable $5.5M pre-seed led by Point72 Ventures with participation from respected funds and angels specializing in AI and SaaS, validating both team and thesis in a competitive funding environment.[1][3][4][5][6][11][12][15]
• Clear, workflow-centric product narrative around an AI copilot. External communication consistently frames the product as a copilot that integrates data across calls, emails, CRM and other channels and operates on private, dynamic data, which suggests a thoughtful product vision grounded in real sales workflows rather than generic AI promises.[1][3][5][6][10][11][13]
• Demonstrated ability to evolve from copilot to autonomous execution platform. The company later rebranded to Airspeed and raised a $20M Series A to build an agent-native execution layer, indicating the team’s capacity to evolve the product from insight generation to autonomous action—a trajectory that can appeal to investors looking for long-term platform potential.[8][9]
• Consistent messaging across press, founder communications, and partnerships. Press, founder posts, and data-partner announcements (e.g., Crunchbase) create a coherent public story around the pre-seed raise and product direction, which helps investors and customers quickly understand the company’s positioning.[1][3][5][6][10][11][12][13]

What could have been stronger

• Limited externally visible traction metrics in the deck. Public information about the deck emphasizes a product-centric narrative but does not reference concrete early metrics such as number of pilot customers, ARR, or engagement data, suggesting that traction evidence in the actual slides may have been light for a sales-tech product.[3][5][10][13] For an investor evaluating execution risk, the absence of visible quantified traction in coverage of the deck is a notable weakness.
• Go-to-market wedge not clearly articulated in public descriptions. External descriptions of Glyphic at pre-seed focus on a broad promise to "reinvent how sales teams work" and to transform sales operations across channels, but do not clearly delineate the initial narrow wedge (e.g., specific workflow, segment, or use case) the product would dominate first.[1][3][5][6][10][11][13] If this reflects the deck, the market entry strategy may have appeared diffuse despite a large opportunity.
• Differentiation versus crowded AI sales tools described only at high level. At the time of the pre-seed raise, many incumbents and startups were already offering AI for sales calls and revenue intelligence; external writeups of the deck highlight the DeepMind pedigree and LLM expertise but provide only high-level statements on differentiation (e.g., "private and dynamic data"), without concrete benchmarks or head-to-head comparisons.[3][5][10][11][13][14] This could make it harder for investors to assess durable competitive moat directly from the deck.
• Subsequent strategic shift suggests original positioning evolved materially. Later coverage stresses the company’s shift toward autonomous agents and an execution layer (under the Airspeed brand), implying a strategic broadening and repositioning beyond the original "copilot" framing.[8][9] For investors looking back, this suggests that some aspects of the original value proposition in the pre-seed deck may have been adjusted as the team learned from the market, which can raise questions about initial product–market fit assumptions.

How an investor would read this deck

What draws attention

• Strong **founding team pedigree** as former Google DeepMind researchers with direct LLM and applied AI experience, plus backgrounds at Apple and Spotify.[7][8][9][10][11][13][14]
• A **large and well-understood market** in B2B sales productivity and revenue operations, where AI can drive measurable gains in conversion and efficiency.[1][3][5][10][13]
• Clear **problem framing** around fragmented customer interaction data and manual sales workflows, with a copilot that integrates data across calls, emails, CRM and other systems.[1][3][5][6][8][9][10][11][13]
• Strong **signal from investors and angels** specialized in AI and SaaS (Point72 Ventures, Dhyan Ventures/Amar Shah, Creator Fund, leading AI product leaders), validating quality of the team and vision.[1][3][4][5][6][11][12][15]
• Later evolution into autonomous agents and a $20M Series A under the Airspeed brand demonstrates the team’s ability to ship, learn, and raise follow-on capital, which retrospectively de-risks execution.[8][9]

Risks that stand out

• Highly **competitive market** with many AI sales assistants, revenue intelligence tools, and incumbents baking similar features into CRMs and communication platforms, making differentiation and adoption challenging.[3][5][8][9][10][11][13][14]
• Dependence on **access to communication and CRM data** across multiple systems raises integration, security, and privacy challenges that can slow deployments and lengthen sales cycles.[1][3][5][6][10][11][13]
• The need to prove that LLM-based copilots deliver **consistent, measurable ROI** for sales teams (not just novel insights) means customer outcomes must be rigorously demonstrated to justify SaaS pricing and expansion.[1][3][5][10][11][13]
• Subsequent rebranding to Airspeed and shift to an autonomous execution layer suggests that the initial copilot product required strategic adjustment, highlighting **product–market fit risk** at the pre-seed stage.[8][9]

Questions this deck invites

• What specific **early customer pilots or design partners** did Glyphic secure at the time of the pre-seed, and what quantified impact did the copilot demonstrate on win rates, sales cycle length, or rep productivity?[1][3][5][10][11][13]
• How exactly did the product integrate with **existing sales stacks** (CRM, dialers, email, call recording) at pre-seed, and what were the technical and security guarantees for handling private, dynamic customer data?[1][3][5][6][10][11][13]
• What was the **initial ICP (ideal customer profile)** and wedge use case (e.g., SDR call coaching, deal review, pipeline forecasting), and how did the team plan to sequence product expansion beyond that wedge?[1][3][5][10][11][13]
• Given a crowded market of AI sales assistants, what were the tangible **competitive advantages**—such as proprietary models, unique data access, or superior workflow automation—that would be hard for incumbents and new entrants to replicate
• How did the team plan to evolve from a **copilot that surfaces insights** to an **execution layer of autonomous agents** acting on those insights (as later described under Airspeed), and what milestones were set to validate that transition?

What founders can take from the Glyphic AI deck

• A **deeply technical founding team** with a credible track record at top AI labs (such as Google DeepMind) can be a central pillar of a pre-seed story in frontier AI, especially when paired with clear domain focus like sales operations.[7][8][9][10][11][13][14]
• Positioning an AI product as a **copilot embedded in existing workflows** (calls, emails, CRM) helps investors understand day-to-day use cases and how value is realized, beyond generic claims about large language models.[1][3][5][6][10][11][13]
• Securing a **strong lead investor** and a bench of **strategic angels** with relevant AI and SaaS expertise sends a powerful social proof signal at pre-seed and is often highlighted alongside the product vision in external communications.[1][3][4][5][6][11][12][15]
• Anchoring the narrative around a **concrete operational pain**—fragmented customer interactions and manual sales workflows—can make an abstract LLM technology story immediately legible to non-technical investors.[1][3][5][10][11][13]
• Early communication should leave room for **strategic evolution**: Glyphic’s later transition to Airspeed and autonomous agents shows how an initial copilot thesis can broaden into a larger execution-layer vision as the team learns from customers.[6][8][9][13]
• Consistent messaging across **press releases, founder posts, and the website** (AI copilot, $5.5M pre-seed, DeepMind founders, London base) reinforces the core story investors remember and reduces confusion over time.[1][3][5][6][10][11][12][13]

Glyphic AI pitch deck: common questions

What does Glyphic AI do?

Glyphic AI (now operating as Airspeed) builds an AI copilot for B2B sales teams that ingests customer interaction data across channels (calls, emails, CRM and other systems) to surface tactical and strategic insights, automate follow-ups, and help revenue teams close more deals.[1][3][5][6][8][9][10][11][13] At the time of the pre-seed deck, it was framed as a copilot that could listen to customer conversations and guide sales reps through the entire customer cycle.[10][13]

How much did Glyphic AI raise in its pre-seed round, and who invested?

According to multiple sources, Glyphic AI raised a **$5.5M pre-seed round** announced in June 2023.[1][2][3][4][5][6][10][11][12][15] The round was led by **Point72 Ventures**, with participation from **The Creator Fund**, **Dhyan Ventures (Amar Shah)**, and angels including **Mehdi Ghissassi**, **Rushin Shah**, and other AI/product leaders.[1][3][4][5][6][11][12][15]

Who founded Glyphic AI and when was it founded?

Glyphic AI was founded in **2022** by ex-Google DeepMind researchers **Adam Liska (CEO)** and **Devang Agrawal (CTO)**.[7][8][9][10][12][13][14] Both worked with large language models at DeepMind and on AI-augmented products at companies like Apple and Spotify before starting the company.[7]

When did Glyphic AI raise its pre-seed round, and what stage was it?

The $5.5M pre-seed round was announced in **June 2023** and is categorized as a **pre-seed** round in databases and press materials.[2][3][4][5][11][12][15] Some later summaries describe it as a 2024 pre-seed, but the announcement and LinkedIn posts from the founders are dated June 14, 2023.[3][11][12]

What happened to Glyphic AI after this pre-seed deck—did it raise more funding or change its name?

After the pre-seed, the company later rebranded to **Airspeed** and raised a **$20M Series A** led by DN Capital, bringing total capital raised to more than $25M; however, that Series A and rebrand post-date the deck and reflect the company’s later evolution into an agent-native execution layer for revenue teams.[8][9] The pitch deck in this teardown corresponds specifically to the earlier **Glyphic AI $5.5M pre-seed** phase focused on an AI sales copilot.[1][3][5][6][10][11][12]

Sources

Funding and outcome facts on this page were researched on 2026-08-30 from the pages below.

• Glyphic AI Raises $5.5m to Build AI Copilot Reinventing How Sales ...
• Glyphic AI Company Information - Funding, Investors, and More
• Glyphic AI: Ex-DeepMind Staffers Secure $5.5 Million for LLM Startup
• Glyphic AI $5.5 Million funding round 2023-06-14 - Fundz
• Glyphic - Thirdeyemedia
• Glyphic and Crunchbase partner to supercharge AI Copilot
• Business - Lusha
• Ex-DeepMind duo raise $20 million to close the gap between ... - TNW

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