Protecto
Description: Building AI for Safety
Investors: Together Fund
Reference Link to Deck: https://drive.google.com/file/d/1MBSiwA5Q5rx548XuWo8eNybKPAZlPeob/view
Stage: Seed
Protecto Pitch Deck
Slide 1 — Cover
Title: Privacy and Data Protection for Modern AI World
Large “P” logo stylized as a fingerprint.
Supporting icons (documents, analytics, compliance).
Framing: Minimal, clean opening slide positions Protecto as a serious enterprise-first solution in a regulated AI landscape.
Slide 2 — Traditional vs Gen AI Applications
Left: Traditional Applications
Static Data Handling
Fixed, predefined functions
Rule-based UX
Mostly structured data
Security: role-based access, encryption
Right: Gen AI Applications
Bundled, continuously learning
Adaptive, dynamic
Conversational, unpredictable interactions
Multimodal (structured + unstructured data)
Security: “controls need to be defined”
Framing: Contrasts old world vs new world, showing why existing security solutions fail.
Slide 3 — Regulations Elevate Complexity
Global privacy laws map with markers (EU GDPR, CCPA, LGPD, HIPAA, etc.).
Callout: stronger AI regulations expected globally.
Framing: Puts Protecto squarely at the intersection of AI adoption and compliance risk.
Slide 4 — Our Platform (Divider)
Minimal slide, bold text “Our Platform”.
Framing: Visual break to shift into product specifics, giving weight to the transition.
Slide 5 — Data Protection Lifecycle
4 stages: Build/Train → Tune/RAG → Deploy → Use.
Each linked to Protecto’s role: Scan/De-identify → Response → Prompts.
Logos of integrations: Salesforce, ServiceNow, Snowflake, Hugging Face, OpenAI, LangChain, Amazon Bedrock, etc.
Framing: Visual lifecycle positions Protecto as end-to-end infrastructure for secure AI.
Slide 6 — Protecto Tokenization
Tagline: “Makes gen-AI apps privacy-preserving, compliant, and secure in minutes.”
Three consumption modes: APIs (sub-second), Queue (updates in minutes), Bulk (millions/billions rows).
Framing: Clear emphasis on speed and ease of integration for enterprise scale.
Slide 7 — Sensitive Data Flow
Workflow diagram: Enterprise Data → Protecto Transform → Gen AI Apps.
Headline: “Protects sensitive data while preserving utility of data for AI.”
Outcome: Privacy + Utility.
Framing: Balanced message—Protecto isn’t just about compliance, it keeps data useful.
Slide 8 — Case Study 1: Securing Contract Review Bot (RAG)
Customer: Large Telco.
Goal: Contract review using Gen AI.
Challenge: risk of leaking confidential contract data.
Visual: Contracts with PII → Protecto → Contract Review Agent → Results masked.
Framing: Practical, vertical-specific example validates relevance.
Slide 9 — Case Study 2: Enabling Data Residency
Customer: Large Consumer Tech.
Goal: Process sensitive driver/criminal records with OpenAI.
Challenge: Data residency + regulation compliance.
Visual: Customer App → Protecto → OpenAI Enterprise Private Instance.
Framing: Connects Protecto to highly regulated industries where adoption is otherwise blocked.
Slide 10 — Competitive Landscape
Table: Protecto vs Previous-Gen Data Masking vs PCI-specific masking.
Rows include: deployment options, multimodal support, unstructured data, tokenization, security, etc.
Framing: Heavy feature differentiation—Protecto positioned as “future-ready” compared to narrow incumbents.
Slide 11 — Team
Founders:
Amar Kanagaraj (CEO) — Ex-Microsoft, Sun, Booz & Co. Second-time founder.
Baskaran Alagarsamy (CTO) — 18+ years at Apple, expert in data engineering.
Team: 15+ engineers full-time.
Customers: Kar Global, Brookfield, Belcorp, Nokia.
Backing: Angel investors from Google, Microsoft, major cybersecurity firms.
Framing: Deep technical credibility + enterprise network.
Slide 12 — GTM
Title: Developer-centric, Gen-AI platform focused.
Three pillars: Developer PLG, AI/Data Marketplaces, Partners.
Examples: LangChain, AWS Bedrock, Snowflake, Databricks, HuggingFace.
Framing: Ecosystem-first GTM that feels native to developers while channeling through marketplaces.
Slide 13 — Roadmap
Timeline: Secure LLMs → Vertical-specific → Multi-modal → Privacy Engineering.
Features: GPTGuard, domain-specific GPT apps, integrations (Bedrock, Cortex, templates).
Framing: Roadmap communicates extensibility and ambition—beyond compliance into defining a category.
Slide 14 — Fundraise
Ask: $3M seed.
Use of funds: expand engineering, drive GTM, developer evangelism, category leadership.
Framing: Straightforward, simple slide—clear capital efficiency story tied to roadmap.
Walkthrough
The Protecto deck is designed in a compliance-forward, enterprise tone, structured like a regulatory + infrastructure story:
1. Problem Set-Up — First slides contrast traditional vs Gen AI data needs, then overlay global regulations. This establishes urgency and frames Protecto as solving a systemic gap.
2. Platform Positioning — Divider + lifecycle visualization situates Protecto as “end-to-end,” showing depth and breadth while layering integrations with trusted enterprise tools (Salesforce, Snowflake, Hugging Face, etc.).
3. Utility + Security Dual Narrative — Slides balance privacy with utility preservation, a subtle but crucial framing to avoid sounding like just another compliance blocker.
4. Proof Points — Case studies (Telco, Consumer Tech) showcase real adoption challenges overcome with Protecto, visually simple and clear.
5. Competitive Differentiation — Feature grid highlights Protecto’s multimodal, unstructured, tokenization strengths. Clean layout stresses modernity vs outdated legacy tools.
6. Team + Ecosystem Credibility — Heavy emphasis on founders’ deep data/enterprise backgrounds, early customer logos, and angel investors.
7. Growth Story — GTM framed around developers + ecosystem integrations, roadmap signaling extensibility beyond compliance.
8. Fundraise Slide — Crisp, minimal, funding ask paired with execution priorities.
The design language is clean, corporate, and blue-accented, consistent with enterprise SaaS decks. Section dividers and lifecycle diagrams break up the flow, while case studies and feature tables anchor credibility. Overall, it balances regulatory risk awareness with innovation framing, signaling Protecto as a category-defining infrastructure company.