Saas

The AI‑as‑SaaS market is forecasted to climb from $251.7 B in 2024 to $338.9 B in 2025.

Saas

experience

Plank teams have built AI features for SaaS platforms including copilots, churn prediction, usage analytics, personalized onboarding, auto-tagging, and smart notifications.

Saas
Product-Led AI Features
  • Developed AI-driven product features like chat assistants, smart search, auto-tagging, summarization, and recommendations.
  • Used LLMs and fine-tuned models to deliver context-aware UX across dashboards, documents, and workflows.
  • Continuously optimized in-app intelligence using real-time feedback, usage metrics, and A/B testing.
Multi-Tenant Platform Infrastructure
  • Built secure, scalable SaaS backends with tenant isolation, metering, and permission systems.
  • Used event-driven architecture with background job queues and streaming data pipelines for responsive UX.
  • Deployed infrastructure across regions and environments using infrastructure-as-code and observability tooling
AI-Powered Onboarding and Support Automation
  • Created guided onboarding, adaptive forms, and learning flows using AI to personalize setup and training.
  • Deployed chat agents and support assistants that triage tickets, answer FAQs, and escalate edge cases.
  • Used NLP to classify support requests and generate relevant documentation or step-by-step guidance.
Usage Analytics and Customer Insights
  • Built telemetry pipelines to track feature usage, adoption metrics, and churn signals in real time.
  • Applied clustering and embedding-based segmentation to group users and recommend feature education.
  • Enabled dynamic reporting for product, success, and sales teams to prioritize outreach and roadmap planning.
Billing, Subscription, and Growth Systems
  • Integrated subscription logic, usage-based pricing, and customer entitlements with real-time metering.
  • Created self-serve billing portals and upgrade flows enhanced by AI-driven nudges and recommendations.
  • Implemented churn detection models and lifecycle workflows for retention and upsell.
Compliance, Security, and Deployment Flexibility
  • Ensured SOC-2, GDPR, and HIPAA readiness across storage, access control, and data processing layers.
  • Supported cloud-hosted and self-hosted deployments via Terraform and containerized services.
  • Built admin tools for audit logs, API keys, data export, and usage throttling per customer plan.

Customer Showcase

Entelligence

Developer tools
Developer tools
Saas
Saas

Entelligence.ai is an AI platform backed by top-tier VC firm Mayfield Ventures that helps engineering teams with code reviews, documentation, onboarding, and performance tracking, using an AI assistant that contextualizes code with company knowledge from Notion, Linear, Slack, API docs, and more.

Scalable RAG AI answering dev queries from 100TB/day data

Built a RAG pipeline that ingests GitHub code, Linear tickets, Slack threads, specs, and more into Pinecone + Postgres, then powers an AI chatbot that answers how-to, debugging, and code-review queries—scaling to 100 TB/day with 1,000 + elastic workers and thousands of live webhooks.

LLM-powered Next.js library for real-time, context-aware engineering answers

‍Delivered a Next.js library that streams LLM responses and auto-renders the right component - plain text, code blocks, flowcharts, architecture diagrams, or performance charts - giving engineers rich, context-aware answers in real time.

Automated product planning from PRD to code with ticketing and reviews

Converted product requirements into draft design docs and populated Linear boards with ticket hierarchies, then checked pull requests for spec compliance—automating the planning loop from PRD to code.

SOC-2/HIPAA-compliant, 1-click AWS deployable stack & ongoing maintenance

Packaged the stack as Terraform for one-click AWS deployment, met SOC-2 & HIPAA via least-access controls and Vanta monitoring, and provided ongoing maintenance across multiple enterprise installations.

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OpenVPN

Security
Security
Saas
Saas

OpenVPN is a global leader in private networking and cybersecurity, powering secure, scalable access for over 20,000 businesses and 4 million users. Its next-gen ZTNA platform, Cipherscale, enables zero trust access to private networks, SaaS apps, and internet resources

AI-powered secure access platform

Built a rule-based network security system with a natural language policy engine that learns from employee behavior and enforces real-time access control via a mobile-integrated platform, supporting sub-20ms latency at global scale.

Enterprise-grade backend architecture

‍Designed a distributed, service-oriented backend with multi-cloud and on-prem support, automated failovers, and >99.99% uptime to meet the needs of large-scale enterprise deployments.

AI-driven test scenario simulation

Developed an AI agent that generates and executes thousands of edge-case network test scenarios to ensure OpenVPN’s reliability under diverse and unpredictable conditions.

AI-enabled code generator and code reuse system

Delivered a monorepo architecture with shared utilities and AI-based code generators that convert DSL configs into platform-specific builds for iOS, Android, Windows, Linux, and MacOS—maximizing reuse and minimizing duplication.

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Procore

Construction
Construction
Saas
Saas

Procore Technologies, Inc. (NYSE: PCOR) is the leading construction management platform that has powered over 3 million construction projects in more than 150 countries.

AI-powered video analytics at scale

Built a computer vision system using CNNs and YOLO to identify truck types, capture license plates, and log entry/exit times from high-volume multi-camera streams—processing tens of terabytes daily across 10+ live construction sites.

AI-driven worker ID system enabling smart invoicing and access control

Delivered an AI module for worker identification that enabled contractor-specific invoicing and enforced geofenced access to site zones based on role or clearance.

AI-enabled PPE detection system automating safety compliance enforcement

Developed a mask and helmet detection system with smart alerting to ensure COVID-era and chemical site safety compliance, reducing manual oversight burden.

AI platform with scalable hybrid-cloud architecture and full lifecycle support‍

Designed for dynamic scalability (1000s of processing servers), hybrid cloud/on-premise processing, and maintained full lifecycle support for AI model training, deployment, and operations.

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Maha Global

Saas
Saas

Maha is the world’s first reputation intelligence platform, used by leading Fortune 500 corporations like Pfizer, J&J, Amgen, Honda, Medtronic and Target to unify company behavior and public perception in real time and build trust with stakeholders.

AI-enabled reputation intelligence engine for tracking public perception

Built a fault-tolerant, horizontally scalable crawler that fetches millions of news, social posts, and SEC filings daily, then applies a hybrid evolutionary-algorithm + LLM pipeline to classify, summarize, and score company reputation across 50+ pillars like financial metrics, ESG, DEI and employee satisfaction.

LLM-powered news classification engine

‍Developed a multi-agent graph classification system using document embeddings and dynamic topic modeling to surface the most relevant articles for each reputation pillar in a web dashboard.

Optimizations to support large datasets for Fortune 500 companies

‍Implemented bandwidth-aware crawling, on-the-fly compression, and intelligent LLM invocation to cut storage and compute costs while supporting large datasets for Fortune 500 clients.

AI-driven chat UI that auto-generates live, explorable analytics

Delivered a chat-based analytics interface where user queries auto-generate the UI components that most effectively deliver insights for a given query and populates the compenents with live data using Text2SQL LLM agents, making insights deeply explorable.

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Engineers we’ve worked with

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