What is Kriddr's primary value proposition?

Kriddr aims to be a centralized pet profile management platform. Unlike competitors that rely on owners to input data, Kriddr uses a B2B2C approach where service providers like dog walkers and groomers create the profiles while invoicing clients. This 'crowdsources' the data, ensuring profiles stay updated without requiring constant effort from the pet owner.

How does the 'Bark Recognition' technology work according to the deck?

The technology uses deep learning and contextual modeling to identify individual pets by sound. Initially, the app generates random responses to animal noises via push notifications. Users then verify if these responses are accurate, creating a labeled dataset that helps the machine learning model eventually predict an animal's specific needs based on audio changes.

What are the specific terms of the $1.5 million fundraise?

Kriddr offered two distinct paths for investors in early 2018. The first is a standard venture path: $1.5 million via SAFE agreements with a $7 million valuation cap and a $70,000 minimum investment. The second is a debt path: $400,000 in short-term debt via promissory notes with an 18% interest rate, due in 18 months.

Who is on the management team?

The team consists of Co-Founder/CEO Roger Hunt, described as an AI nerd responsible for vision and product; Co-Founder/COO John Kelley, a law student managing fundraising; and Investor/Advisor Tan Kabra. Kabra brings significant domain expertise, having reportedly scaled two pet-sector companies to over $1 million in annual revenue within a year.

What evidence of traction is provided in the slides?

Direct traction metrics are sparse, but Slide 6 features a mobile mockup of a 'Stats' screen. This screen displays 'Invoice History' and 'Revenue' metrics, showing 'Total confirmed payments' of $126,930. While presented as a UI mockup, these figures likely represent the platform's processing volume or a target milestone for the software's CRM functionality.

Kriddr Pitch Deck: 12-Slide Seed Deck

See all 12 slides of the Kriddr pitch deck — a Consumer Goods deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Kriddr’s January 2018 deck attempts to solve the 'empty profile' problem in pet tech by shifting the data entry burden from owners to service providers like dog walkers and groomers. The company positions itself as a B2C profile management tool that doubles as a CRM for pet professionals, using invoicing as the primary hook for user adoption. Beyond logistics, the deck introduces a high-concept AI play: 'Bark Recognition Technology' aimed at predicting animal needs through deep learning. The most striking element is the 'Fundraise' slide, which offers investors a choice between a $1.5 million…

Key takeaways

The company identifies a core friction point in pet tech: owners rarely update digital pet profiles at scale (Slide 2).
Kriddr uses service providers (dog walkers, groomers) to 'crowdsource' profiles via an invoicing workflow (Slide 2).
The product includes a 'Bark Recognition' feature that uses random responses to train a machine learning model on animal sounds (Slide 3).
The management team includes a COO who is a current law student and a CEO described as an 'AI nerd' (Slide 4).
Advisor Tan Kabra is credited with building two companies in the pet space to $1M+ annual revenue in 12 months (Slide 4).
The deck offers a dual-track investment: a $1.5M SAFE at a $7M cap or $400k in short-term debt (Slide 5).
The short-term debt option carries an 18% annualized simple interest rate and is guaranteed by LaunchByte Ventures (Slide 5).
Mobile mockups show a 'Stats' screen tracking 'Total confirmed payments' reaching $126,930 (Slide 6).

Executive Summary: The Data-First Pet Platform

Kriddr’s 2018 investor deck attempts to bridge the gap between pet care logistics and advanced artificial intelligence. The core thesis is that pet data is currently siloed and poorly maintained because owners lack the incentive to update apps. By building a CRM and invoicing tool for pet professionals, Kriddr captures data at the point of service, creating a 'living' profile for the animal. This teardown examines how the company balances a practical B2B2C business model with a speculative AI R&D project, and the unusual financial terms they presented to the market.

Slide 1: Title and Branding

The deck opens with a minimalist title slide featuring the Kriddr logo in orange. The logo incorporates a 'smile' motif in the double 'd', signaling a consumer-friendly brand. The date 'JAN 2018' establishes the vintage of the pitch. There is no tagline or mission statement on this slide, leaving the reader to discover the industry in the subsequent pages.

Slide 2: B2C Pet Profile Management

This slide addresses the 'Problem' and 'Solution' simultaneously. It identifies a major hurdle in the pet tech industry: the 'personal health recording challenge.' The text notes that 'we simply cannot rely on people to update profiles themselves at scale.'

The solution proposed is crowdsourcing. Kriddr allows service providers and neighborhood groups to build these profiles. The slide uses a narrative 'User Adoption Process' involving characters named Jane (owner), Sammy (husky), Tom (dog walker), and Doug (groomer). The workflow is specific: Tom creates an invoice for Jane; the invoice updates Sammy’s profile; Jane receives a text and downloads the app to find a pre-populated profile. This is a clever growth hack designed to solve the 'cold start' problem of empty user profiles.

Slide 3: AI Bark Recognition Technology

Kriddr pivots from logistics to deep tech on Slide 3. The company claims to be commercializing 'animal voice recognition' using deep learning and contextual modeling. The slide outlines a three-step roadmap for this technology:

User Interface: Owners record animal sounds within the app, similar to talk-to-text. · Data Labeling: The app sends random responses to noises, and users confirm if they are accurate. · Future Goals: Using correlations from thousands of animals to build a 'token-based architecture' that predicts animal needs based on audio changes.

This slide is highly ambitious, moving the company from a utility app to a data-science play. However, it lacks technical validation or mention of existing patents.

Slide 4: Management Team

The team slide uses stylized avatars rather than photographs. The team is lean, consisting of two co-founders and one advisor:

Roger Hunt (Co-Founder, CEO): Described as an 'AI nerd' with software and recruiting experience. He is the product lead. · John Kelley (Co-Founder, COO): A 'start-up enthusiast' and current law student. His role focuses on fundraising and organization. · Tan Kabra (Investor / Advisor): Kabra is the 'heavy hitter' on the slide, with 6+ years in tech and a track record of building two pet/vet companies to $1M+ ARR in 12 months.

The inclusion of a law student as a COO is an unusual choice for a seed-stage deck, but the advisor's specific industry success provides necessary credibility to the sector focus.

Slide 5: Kriddr's Fundraise

This is the most unconventional slide in the deck. Kriddr presents two distinct investment options, which is rare in a standard venture pitch:

Option A: $1.5 million at a $7 million valuation cap using SAFE agreements. The minimum check size is $70,000. · Option B: $400,000 as short-term debt via a Promissory Note. This option requires a $100,000 minimum and offers a high 18% annualized simple interest rate.

Notably, the debt option is 'Guaranteed by LaunchByte Ventures.' This suggests a close relationship with a venture studio or accelerator that is willing to back the company's liabilities to secure short-term runway. The 18% interest rate is significantly higher than typical venture debt, reflecting either the risk profile or a desire for rapid, non-dilutive capital.

Slide 6: Product Mockups and Metrics

The final slide in this set shows three mobile screens. The first shows a pet profile for 'Sammy' with owner contact details and an 'Add Invoice' button. The second is a welcome screen. The third is a 'Stats' page, which is the most revealing. It shows 'Total sent invoice' amounts ($125,909) and 'Total confirmed payments' ($126,930). While these are mockups, they indicate that the platform is designed to handle significant financial throughput for its B2B users.

What Works in This Deck

The Adoption Strategy: The 'User Adoption Process' on Slide 2 is the strongest part of the pitch. It clearly explains how the company bypasses the friction of manual data entry by piggybacking on a necessary financial transaction (invoicing). This gives the app immediate utility for both the service provider (who needs to get paid) and the owner (who needs a record of care).

The Market Gap: Identifying that pet owners are 'inundated with emails' but don't engage with apps is a grounded, realistic observation. The pivot to a community-sourced model is a logical response to that market reality.

Clarity of Terms: While the dual-track raise is unusual, Slide 5 is incredibly explicit. There is no ambiguity about the valuation cap, the instrument type, the interest rates, or the minimum check sizes. This level of transparency is helpful for filtering investors quickly.

What Is Missing or Lacking

Market Size (TAM/SAM/SOM): The deck does not quantify the pet care market or the specific sub-sector of independent service providers (walkers, groomers). Without these numbers, it is difficult to judge if a $7 million valuation cap is justified.

Competitive Landscape: There is no mention of existing pet CRM tools or established players like Rover or Wag. Investors would want to know how Kriddr protects its 'crowdsourced profile' moat against larger platforms that already have thousands of walkers on their systems.

Technical Validation for AI: The 'Bark Recognition' slide is purely conceptual. There is no mention of a prototype, the size of their current audio database, or the accuracy rates of their initial models. For a company claiming to use 'deep learning,' the lack of technical data is a significant omission.

Financial Projections: While the mockups show revenue stats, there are no forward-looking projections or a 'Use of Funds' breakdown. Investors need to know how the $1.5 million will be spent—specifically, how much goes to AI R&D versus user acquisition.

Founder Takeaways: Lessons from Kriddr

Solve the Data Entry Problem: If your product relies on user-generated content or profiles, find a way to automate that data entry. Kriddr’s idea of using service providers to build profiles for the end-user is a classic 'Do Things That Don't Scale' strategy that can actually scale if the incentive (getting paid via invoice) is strong enough.

Be Wary of the 'Dual-Track' Raise: Offering both equity and high-interest debt in the same slide can be confusing. It may signal to investors that you are struggling to close the equity round and are looking for a 'bridge' at any cost. If you use debt, ensure the 'guarantor' (like LaunchByte Ventures in this case) is a well-known entity that adds credibility rather than questions.

Match Your Team to Your Tech: If you are pitching a 'Deep Learning' AI company, your team slide should ideally feature a CTO or Lead Data Scientist with a PhD or significant experience in that specific field. Having a 'law student' and an 'AI nerd' may not provide enough technical confidence for a $7 million cap round focused on voice recognition technology.

Use Mockups to Tell a Story: The use of a narrative (Jane, Tom, and Sammy) is much more effective than a bulleted list of features. It allows the investor to visualize the product-market fit and the specific 'aha moment' for the user.

Frequently asked questions

What is Kriddr's primary value proposition?: Kriddr aims to be a centralized pet profile management platform. Unlike competitors that rely on owners to input data, Kriddr uses a B2B2C approach where service providers like dog walkers and groomers create the profiles while invoicing clients. This 'crowdsources' the data, ensuring profiles stay updated without requiring constant effort from the pet owner.
How does the 'Bark Recognition' technology work according to the deck?: The technology uses deep learning and contextual modeling to identify individual pets by sound. Initially, the app generates random responses to animal noises via push notifications. Users then verify if these responses are accurate, creating a labeled dataset that helps the machine learning model eventually predict an animal's specific needs based on audio changes.
What are the specific terms of the $1.5 million fundraise?: Kriddr offered two distinct paths for investors in early 2018. The first is a standard venture path: $1.5 million via SAFE agreements with a $7 million valuation cap and a $70,000 minimum investment. The second is a debt path: $400,000 in short-term debt via promissory notes with an 18% interest rate, due in 18 months.
Who is on the management team?: The team consists of Co-Founder/CEO Roger Hunt, described as an AI nerd responsible for vision and product; Co-Founder/COO John Kelley, a law student managing fundraising; and Investor/Advisor Tan Kabra. Kabra brings significant domain expertise, having reportedly scaled two pet-sector companies to over $1 million in annual revenue within a year.
What evidence of traction is provided in the slides?: Direct traction metrics are sparse, but Slide 6 features a mobile mockup of a 'Stats' screen. This screen displays 'Invoice History' and 'Revenue' metrics, showing 'Total confirmed payments' of $126,930. While presented as a UI mockup, these figures likely represent the platform's processing volume or a target milestone for the software's CRM functionality.

Cover slide of the Kriddr pitch deck — Seed — Kriddr pitch deck, slide 1

Kriddr pitch deck: the facts

Company: Kriddr
Stage: Seed
Slides: 12
Sector: Consumer Goods

Kriddr pitch deck PDF

The full Kriddr 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 Kriddr pitch deck was used for

This is Kriddr’s 2018 seed-stage investor deck for a community-driven pet profile and communication platform that also proposes R&D into AI-based animal voice (“bark”) recognition. The deck describes the company as pre-MVP in late 2017 with a fully functional V1 targeted for spring 2018 and indicates prior capital raised to build MVP through V2 and the AI stack. An updated version of the deck on the same platform in February 2018 outlines expectations of rapid EBITDA positivity and a large exit over five years, confirming this as a fundraising deck rather than a product pitch. CB Insights lists Kriddr as a private pet technology company headquartered in Long Beach, California, with a total of $7.2M raised and a latest round classified as private equity, which suggests the seed raise described in the deck was one of several financings.

Round: Private equity (latest reported round)
Headquarters: Long Beach, California, United States
Industry: Pet technologies / consumer pet services platform
Total funding: $7.2M total raised across all rounds

What the Kriddr deck got right

Compelling origin story tied to a real communication failure. The deck presents a clear pain point from a real-world event—difficulty adopting a pet during hurricanes and flooding due to chaotic and expensive communication systems among shelters and volunteers—which anchors Kriddr’s mission in a concrete, emotionally resonant problem.
Innovative crowdsourced pet profile approach. Kriddr’s B2C pet profile management concept acknowledges that owners rarely keep health records updated and proposes a community-driven alternative where service providers and neighborhood groups crowdsource data, potentially improving completeness and reliability of pet profiles at scale.
Clear linkage between product and retailer revenue/engagement. The B2B omni-channel retail slide articulates specific retailer challenges (loss of revenue to e-commerce, reduced effectiveness of loyalty programs, lack of customer data) and positions Kriddr as a way to increase revenue per customer through personalized mobile experiences and stored animal data, aligning the product with measurable business outcomes.
Differentiated AI narrative within pet technology. The deck situates Kriddr within broader trends in AI and pet technology, referencing Google and others identifying animals in images and existing systems for controlling dog barking, and differentiates itself by focusing on commercializing ‘animal voice recognition,’ which could be a distinctive R&D angle if executed well.
Platform and ecosystem vision via a proposed app store. A dedicated slide on the future Kriddr App Store shows an extensible vision where third-party developers can build business and consumer features (e.g., augmented reality, email integration, GPS tracking, Rx ordering), suggesting a platform strategy rather than a single-feature app.
Evidence of subsequent fundraising beyond the initial seed deck. External funding data from CB Insights confirming a total of $7.2M raised, including a private equity round, indicates that Kriddr succeeded in securing capital beyond the initial $950K mentioned for MVP and AI build, lending some credibility to the company’s ability to attract investors.

What could have been stronger

Limited evidence for AI bark recognition feasibility. The deck introduces a highly ambitious AI bark recognition technology but provides no externally verifiable evidence of technical progress, datasets, model performance metrics, or partnerships to support the feasibility of commercial “animal voice recognition.” This makes it difficult for investors to assess whether the AI track is more than a conceptual add-on to the core pet communication platform.
No independently confirmed traction at the time of the deck. While the decks emphasize community-driven pet profiles and omni-channel retail support, they do not present sourced data on user adoption, pilot customers, or measurable traction; as of the pre-MVP status in late 2017, there are no independent confirmations of a launched and adopted product, which introduces uncertainty about market validation.
Unclear alignment between core product and AI R&D. The seed deck mentions a dual-track structure involving both the consumer pet profile product and an advanced AI R&D effort, but publicly available materials do not clearly detail how capital is allocated between these tracks or how investors in the core platform benefit from longer-horizon AI experiments, creating potential confusion around focus and use of funds.
Lack of externally verified outcomes relative to deck projections. External data from CB Insights indicates that Kriddr ultimately raised significantly more than the $950K mentioned for MVP/V1/V2 and AI build and lists a later private equity round, but there is no readily accessible information connecting specific investors, valuations, or milestones to the projections in the 2018 decks (such as becoming EBITDA positive within one year or reaching an $800M exit valuation).

How an investor would read this deck

What draws attention

Verify the timeline: the deck states pre-MVP status in late 2017 with a V1 launch by spring 2018 and prior funding of $950K, while CB Insights now reports a total of $7.2M raised including a private equity round; understanding how this seed round bridges to later financings is critical.
Focus on the core value proposition: Kriddr’s most grounded and clearly articulated offering is a centralized, community-driven pet profile and communication platform for shelters, owners, and retailers, which may have more near-term viability than the speculative AI bark recognition component.
Evaluate the realism of financial and exit projections in the updated 2018 deck (EBITDA positive within a year and an $800M exit by year five) against the size of the pet technology market and the company’s available resources at seed stage.
Clarify the distinction between product and R&D narratives: investors need to understand whether the AI stack for animal voice recognition is a core driver of the business model or an optional long-term upside layered on top of a more conventional SaaS/community platform.

Risks that stand out

Technical risk: commercializing animal voice recognition is an unproven area, and without externally validated models or data, the bark recognition component may not materialize as a defensible product line.
Execution risk: the deck’s projections of reaching EBITDA positivity within one year and an $800M exit in five years are aggressive for a seed-stage company, especially in a fragmented pet services market, and there is no accessible public data confirming that these targets were met.
Focus risk: pursuing both a broad pet communication platform and advanced AI R&D at seed stage could dilute resources and delay traction in the more straightforward areas of the business.
Market adoption risk: the deck acknowledges that pet owners historically have not adopted mobile technology for pet care profiles, and Kriddr must overcome this behavior through service-provider-driven data collection, which may be difficult without strong incentives or established partnerships.

Questions this deck invites

What concrete milestones did Kriddr achieve after the pre-MVP stage described in late 2017, and did the fully functional V1 launch by spring 2018 occur as planned, including any measurable user or revenue metrics?
How was the $950K mentioned in the deck allocated among MVP, V1, V2, and AI build, and how does that allocation compare to the total $7.2M of capital CB Insights reports the company has raised to date?
What specific technical approach, datasets, and validation metrics underpin Kriddr’s proposed bark recognition technology, and has any peer-reviewed research, patent filing, or commercial pilot substantiated the claim of building an ‘animal
Which investors participated in Kriddr’s seed and subsequent private equity rounds, and what governance or strategic support did they provide relative to the aggressive growth and exit projections in the updated deck?
Has Kriddr established paying B2B retail clients or large-scale shelter/clinic deployments for its communication platform, and can it provide case studies demonstrating improved customer engagement or operational efficiency?

What founders can take from the Kriddr deck

Ambitious technology narratives such as AI-based bark recognition can attract attention but must be accompanied by credible technical plans, evidence, or milestones to avoid being perceived as purely speculative.
When a product addresses a known behavior hurdle (like pet owners failing to maintain digital profiles), framing a solution that shifts the burden to more motivated stakeholders (service providers and communities) can make the adoption story more compelling.
Including both B2C and B2B use cases in a deck—pet profile management for owners and omni-channel support for retailers—can broaden the perceived market, but it increases the importance of clearly explaining prioritization and go-to-market focus.
Projecting rapid EBITDA positivity and large exit valuations in an early-stage deck should be backed by realistic assumptions and comparable benchmarks; otherwise, investors will treat those numbers as purely aspirational.
A dual-track fundraising story that combines a practical platform with a long-horizon AI R&D effort needs transparent structure so investors understand how each track is funded and how upside from the experimental track accrues to them.
Using a narrative origin story tied to a real-world crisis (failed pet adoption during hurricanes and flooding) can effectively illustrate the problem space and emotional stakes, but it still needs supporting data on how widespread and economically significant the issue is.

Kriddr pitch deck: common questions

What does Kriddr do according to its investor decks?

Kriddr is described in the 2018 investor decks as a centralized, community-driven platform for pet profile management and communication between pet owners, shelters, service providers, and retailers, with an additional R&D track into AI-based animal voice recognition (“bark recognition”).

What stage was Kriddr at when this deck was used, and how much had it raised at that point?

The 2018 seed deck on Slideshare states that Kriddr was pre-MVP as of late 2017, with plans for a fully functional V1 launch by spring 2018. It also notes that $950K had already been raised to fund MVP, V1, V2, and an AI build.

What fundraise is this Kriddr deck associated with, and how does it fit into the company’s overall funding history?

The deck positions Kriddr as raising a seed round to complete V1, advance V2, and build its AI stack, while later updated materials project EBITDA positivity within one year and an eventual exit valuation goal of $800M within five years. Externally, CB Insights reports that Kriddr has raised a total of $7.2M, including a private equity round approximately six years before the last update.

What are the main products and features Kriddr presents in this deck?

The deck highlights two core use cases: B2C pet profile management, where service providers and neighborhood groups crowdsource pet data instead of relying on owners, and B2B omni-channel retail support, where Kriddr enables personalized in-store experiences and data-driven marketing for brick-and-mortar retailers. A separate slide introduces an AI bark recognition technology, and another envisions a future Kriddr App Store for third-party features.

Is there independent confirmation of Kriddr’s existence and funding outside this deck?

CB Insights lists Kriddr under pet technologies with a headquarters address at 2538 East 2nd Street Box 15694, Long Beach, California, USA, and reports a total of $7.2M raised with the latest round categorized as private equity. Beyond the Slideshare decks and this funding database entry, no additional detailed public information about Kriddr’s operations, customers, or later product status is readily available in the surfaced materials.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

Kriddr pitch deck slides

Kriddr pitch deck slide 1 of 12 — Kriddr pitch deck — slide 1 of 12

Kriddr pitch deck slide 2 of 12 — Kriddr pitch deck — slide 2 of 12

Kriddr pitch deck slide 3 of 12 — Kriddr pitch deck — slide 3 of 12

Kriddr pitch deck slide 4 of 12 — Kriddr pitch deck — slide 4 of 12

Kriddr pitch deck slide 5 of 12 — Kriddr pitch deck — slide 5 of 12

Kriddr pitch deck slide 6 of 12 — Kriddr pitch deck — slide 6 of 12

What each slide of the Kriddr pitch deck says

Slide 2

Executive Summary %// Why we do what we do: e The idea for Kriddr was born the summer of 2017 when we tried to adopt a pet during the hurricane and flooding disasters ¢ The effort to adopt was a failure due to cumbersome, chaotic and costly communication systems used by shelters and volunteers e Kriddr makes communications effective and simple AND has a multitude of retail and consumer benefits ¢ In addition, Artificial Intelligence (Al) is changing how we work and live; Kriddr takes advantage of Al beyond your wildest imagination CURRENT STATUS e Pre-MVP launched, initial feedback received e Fully functional V1 launch by Spring '18 FUNDRAISE e Raised $950K for MVP, v1, v2, and Al build o A…

Slide 3

B2C: Pet Profile Management / Overview: Pet owners face many challenges providing the best care for their pets. However, most pet owners have not adopted mobile technology to support their efforts. There are many reasons for this, but the main issue is similar fo the personal health recording challenge: we simply cannot rely on people to update profiles themselves at scale. Kriddr provides a way for all service providers, and even neighborhood groups to crowdsource these profiles, thus removing the burden from pet // owners, and creating an opportunity for others to represent their service on a unique community platform. User Adoption Process: Jane owns Sammy, an Australian Huskie. She has…

Slide 4

B2B: Omni-Channel Retail Support Overview: As e-commerce grows, brick and mortar retailers need ways to keep customers coming through the doors. Rather than offering discounts on services, Kriddr suggests delivering a more personalized service through our mobileexperience. Retailer Challenges Kriddr's Solutions / -Loss of revenue due to e- -Increase revenue per commerce and increased employee by increasing competition customer engagement -Reduced impact of -Introduce a concierge loyalty programs and and highly personalized / other discount measures service for customers -Lack of customer data -Store data about animals and data solutions to to market new products provide better service and s…

Slide 5

Al: Bark Recognition Technology Overview: Methods to build an effective artificial intelligence stack for animals and pets are starting to become widely used. Google and other platforms have recently begun identifying animals in pictures, and many systems are available to control dog barking using Al, but there are no serious attempts to commercialize "animal voice recognition" as such. Kriddr is doing just that using deep leaming, contextual modeling. User-Interface: Pet owners will record their animal sounds using a feature similar to talk-totext within the app. These sounds will be recorded and stored to audibly identify individual pets given an individual owner's database. To start, ani…

Slide 6

The Future: Kriddr App Store / Overview: The Kriddr App Store will be an open source development platform on which anyone can design and build a new function for their Kriddr interface, and distribute it to the entire Kriddr community. Here are just a few fun ideas from our group...non-exhaustive. We expect the community to develop and promote their own app features. Business Features Consumer Features Augmented Realit gmail/outlook integration video surveillance Find the last area the dog pooped text marketing Rx ordering pay by text bluetooth cat tracker inventory management GPS tracking

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