Seezo 🔐

AI platform automating Security Design Reviews.

February 11, 2026

Spotlight

Why do product teams ship fast until security design reviews slow everything down?

Quick Pitch: Seezo is an Application Security platform that uses GenAI to automate Security Design Reviews and threat modeling, compressing weeks of manual work into minutes so AppSec teams can scale without adding headcount.

The Problem

  • Manual workflows: Security Design Reviews take 1 to 2 weeks per review, slowing development cycles.

  • Limited coverage: With 2 to 3 security specialists per 100 developers, most applications never get reviewed.

  • High cost and inconsistency: Manual processes vary in quality, strain budgets, and delay time to market.

Snapshot

  • Industry: Application security automation

  • Headquarters: Bangalore, India 

  • Year Founded: 2023

  • Customers: SoFi, Ascot Group, Razorpay, Sasken, 360One

  • Traction: Six figure ARR from early enterprise customers within the first year of selling

Founder Profiles

  • Sandesh Mysore Anand, Co-Founder, CEO: Former Head of Security at Razorpay. Nine years in AppSec consulting, from penetration tester to leading a $3M business unit at Synopsys.

  • Rakshitha Rao, Co-Founder, COO: Led Customer Success at Pingsafe and CloudSek. Former AppSec consultant at Synopsys.

Funding

Revenue Engine

  • Model: SaaS subscription licensing

  • Expansion: Starts with Security Design Reviews, expands into broader threat modeling and additional AppSec workflows

What Users Love

  • Reviews completed in minutes instead of weeks

  • Broader security coverage without hiring

  • Automated interpretation of architecture diagrams and design documents

  • Faster release cycles with security embedded earlier

  • Human in the loop services for customization

Playing Field

  • Manual methods: Inconsistent, difficult to scale.

  • First generation tools: Expensive, complex, and require deep expertise

Seezo’s edge: GenAI automates interpretation of diagrams and documents, making threat modeling continuous, consistent, and scalable

Why It Matters

AI adoption is expanding the attack surface. Security design reviews can no longer be static checkpoints. Without AI augmented reviews, companies risk deploying flawed systems while threats evolve faster than human analysts can respond.

What Sets Them Apart

  • AI workflow automation: Parses architecture diagrams and design documents, traditionally unstructured inputs

  • Deep AppSec expertise: Built by operators who understand real security workflows

  • Prompt engineering focus: Internal systems and dedicated effort to ensure consistent, reliable outputs

Analysis

Bulls Case 📈 

  • Clear scaling solution with measurable time savings

  • Early enterprise traction with credible logos

  • Backed by tier one VC Accel

  • Large TAM: $1.5B in Security Design Reviews within a $10B AppSec market

Bears Case 📉 

  • Crowded AppSec market with both incumbents and GenAI entrants

  • Long enterprise sales cycles and high trust requirements

  • Dependence on GenAI quality as models commoditize

  • Must expand beyond the initial use case to capture broader budgets

Verdict

Security Design Reviews are moving from periodic compliance checks to continuous requirements, but most teams lack the staffing to support that shift.

The real opportunity is structural. If Seezo embeds into design workflows and earns trust, it shifts from a productivity tool to core infrastructure for design time risk decisions, opening the door to broader security budget capture.

The Startup Pulse

Another happening week in startup funding. Strong activity across autonomous driving, AI chips, voice AI, robotics, and AI infrastructure.

  •  Waymo — Raised $16B at a $126B valuation to scale autonomous robotaxi deployment globally. Institutional conviction around autonomy infrastructure continues to deepen.

  •  Cerebras — Closed a $1B late stage round at a $23B valuation to expand AI compute beyond GPU constrained architectures. The race for alternative AI infrastructure is intensifying.

  • ElevenLabs — Secured $500M at an $11B valuation to accelerate enterprise adoption of AI voice systems. Voice is moving from novelty to embedded workflow layer.

Written by Ashher

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