Consumer
experience
Plank teams have delivered AI-native consumer solutions across the entire engagement stack - building multi-agent personalization engines with long-term vector memory, auto-generating video, image, and text content at scale, surfacing behavioral intelligence dashboards and habit-shaping recommendations, powering multilingual voice assistants for seamless chat-to-action flows, and wiring automation backbones that connect user signals into real-time workflows.
Personalized AI Experiences
- Built multi-agent systems for tailored coaching, recommendations, and behavioral feedback across wellness, finance, and productivity use cases.
- Used LLMs for real-time personalization through chat, voice, and in-app interaction channels.
- Applied vector-based memory systems to maintain long-term user context and deliver adaptive experiences.
AI-Powered Content Creation and Distribution
- Built systems for generating media content (videos, images, summaries) automatically from user data or platform inputs.
- Delivered tooling for customizing and publishing content across consumer channels like Instagram, TikTok, and email.
- Enabled branding and personalization through template systems and user-defined styles.
Behavioral Intelligence and Smart Recommendations
- Created systems that ingest and analyze personal data (e.g. transactions, interactions) to surface insights and drive actions.
- Built personalized dashboards and feeds combining structured data with embeddings-based ranking.
- Used AI agents to recommend habits, savings opportunities, or news based on user behavior and preferences.
Conversational Interfaces and Multilingual Voice UX
- Developed voice-driven interfaces for onboarding, search, and interaction using OpenAI and ElevenLabs.
- Enabled real-time multilingual support with dialect-aware translation for global user bases.
- Integrated voice workflows with backend systems for seamless form filling, data collection, and automation.
Scalable Infrastructure for Consumer Applications
- Architected cloud and hybrid deployments for high-volume consumer traffic with real-time inference and autoscaling.
- Built secure, multi-tenant data systems to handle millions of users and enforce isolation.
- Delivered infrastructure meeting compliance standards (HIPAA, SOC-2) and operational reliability requirements.
Automation Backbones for End-User Workflows
- Built systems that translate user actions and preferences into structured documents, notifications, and workflows.
- Applied OCR, LLMs, and agents to automate data collection, enrichment, and sync across consumer touchpoints.
- Integrated automation into end-user flows like onboarding, support, feedback, and personalization loops.
Engineers we’ve worked with
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