Ajackus partnered with Pica (formerly IntegrationOS)—an agentic AI tooling platform—to build and optimise the Rust-based integration infrastructure that connects AI agents to 150+ platforms through a single SDK.
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How Pica Shipped 160+ Integrations and Cut Time-to-Market by 90%
Services
Generative and Agentic AI Development
Web Development
DevOps
Technologies
160+
Verified Integrations Shipped
2-3
New Integrations Delivered Daily
5 Days → 0.5 Day
Integration Development Time
Overview
Executive Summary
Client Overview
The Challenge
Project Goals
Our Approach
Results and Impact
Frequently Asked Questions
Executive Summary
The Problem
Pica, an agentic AI tooling platform, needed to scale its integration ecosystem rapidly across a fragmented API landscape where each platform had unique documentation formats, authentication logic, and versioning models—while generating AI-friendly, lightweight responses to avoid exhausting model context limits.
The Solution
Ajackus took complete ownership of Pica’s integration ecosystem, developing Intelliscan (a high-performance scraper processing API specs in under 5 seconds), Composer (a token optimisation engine for AI-friendly outputs), and Backoffice (an internal management interface)—reducing integration development time from 5 days to half a day.
The Result
160+ verified integrations shipped, 2–3 new integrations delivered daily, enterprise clients onboarded (including ActiveCampaign), and Pica’s everyday.new product achieved #1 on Product Hunt.
Client Overview
Pica (formerly IntegrationOS) is an agentic AI tooling platform that enables developers to connect AI agents to over 150 platforms through a single SDK. It serves as the integration backbone for AI applications, eliminating the need for manual API keys or complex configurations.
The platform’s modular product suite—OneTool, AuthKit, and BuildKit—provides zero-shot execution across major platforms like HubSpot, Salesforce, Slack, GitHub, and Gmail. Built in Rust for performance and low latency, Pica offers access to over 25,000 executable actions across all connected apps, making it one of the most versatile integration layers in the agentic AI ecosystem.
| Industry | Agentic AI / Developer Tooling |
| Headquarters | United States |
| Platform Reach | 150+ platforms, 25,000+ executable actions |
| Core Technology | Rust-based SDK with NestJS backend |
| Recognition | #1 on Product Hunt (everyday.new) |
The Challenge
THE BOTTOM LINE
Pica needed an engine that could adapt to a fragmented API ecosystem at scale while generating AI-friendly, lightweight responses—turning 5-day integration cycles into hours.
As the number of platforms and APIs in the market grew, so did the complexity of building and maintaining integrations. For Pica to fulfil its goal of being the universal integration infrastructure for AI agents, it faced a set of compounding challenges.
Core Pain Points
- Fragmented API landscape: Every platform had its own documentation format, authentication logic, and versioning model—there was no standard to build against.
- Anti-scraping barriers: Some APIs were protected behind Shadow DOMs or had structures that actively discouraged automated ingestion, requiring custom approaches for each.
- AI context limit constraints: Raw API responses were bloated and expensive to process through LLMs, threatening both performance and cost-efficiency for AI agent workflows.
- Manual integration bottlenecks: Each new platform integration took approximately 5 days to develop, test, and verify—far too slow to achieve meaningful market coverage.
- Multi-tenant authentication complexity: Managing OAuth and token lifecycles across hundreds of platforms for multi-tenant applications required robust, automated infrastructure.
Project Goals
The project aimed to build a scalable integration engine that could dramatically accelerate Pica’s platform coverage while maintaining quality, performance, and AI-readiness.
| Goal | Success Criteria |
|---|---|
| Reduce time-to-market per integration | From 5 days to under 1 day (90%+ reduction) |
| Build high-performance API ingestion | Process OpenAPI and Discovery docs in under 5 seconds |
| Optimise for AI context limits | Lightweight, token-efficient responses for LLM consumption |
| Automate authentication management | Automated OAuth configuration and token lifecycle handling |
| Enable scalable daily delivery | Consistent output of 2–3 new verified integrations per day |
| Ship internal tooling | Backoffice interface for managing integrations, jobs, and auth flows |
Our Approach
Ajackus took complete ownership of Pica’s integration ecosystem, maintaining near-daily collaboration with Pica’s core developers. The partnership began in November 2023 and evolved from manual processes to continuous pattern analysis and automated helper utilities.
Intelliscan: High-Performance API Scraper
The team developed Intelliscan, a high-performance scraper capable of processing OpenAPI and Google Discovery documents in under five seconds. This enabled near-instant ingestion of complex API structures—including those protected behind Shadow DOMs—and formed the foundation of Pica’s ability to onboard new platforms rapidly.
Composer: Token Optimisation Engine
Composer was built as an intelligent transformation engine that takes raw, bloated API responses and converts them into lightweight, AI-friendly outputs. By stripping unnecessary data and minimising response size, Composer significantly enhanced AI model efficiency and reduced the operational costs associated with LLM context limits—a critical capability for agentic AI workflows.
Backoffice and OAuth Automation
The team built Backoffice, an internal management interface for overseeing integrations, jobs, and authentication flows. Alongside this, automated OAuth configuration was implemented to manage token lifecycles for multi-tenant use cases seamlessly—eliminating a major source of manual overhead and error.
Continuous Process Improvement
Over time, the team moved from manual integration development to systematic pattern analysis and reusable helper utilities. This evolution is what compressed integration timelines from 5 days to under half a day, enabling a consistent delivery cadence of 2–3 new integrations daily.
Results and Impact
Ajackus’s partnership with Pica produced lasting results across development velocity, platform coverage, and tooling infrastructure.
160+
Verified Integrations Shipped
2-3
New Integrations Delivered Daily
5s
API Spec Processing Time
What Was Delivered
- 160+ verified integrations shipped, each thoroughly verified as “Stable” before reaching production.
- Intelliscan: a high-performance scraper that processes OpenAPI and Google Discovery documents in under 5 seconds, enabling near-instant API onboarding.
- Composer: a token optimisation engine that delivers lightweight, context-efficient responses to AI agents, reducing LLM processing costs.
- Backoffice: an internal management interface for overseeing integrations, jobs, and authentication flows.
- Automated OAuth configuration handling token lifecycles for multi-tenant use cases across 150+ platforms.
Business Impact
- Pica’s comprehensive endpoint coverage attracted enterprise clients and forged strategic partnerships with platforms like ActiveCampaign.
- Developers can now connect and execute actions across 25,000+ endpoints with zero manual configuration (zero-shot execution).
- Pica’s everyday.new product achieved #1 on Product Hunt, driven in part by the breadth of integrations Ajackus helped deliver.
- Automated OAuth and Backoffice tooling eliminated manual authentication overhead across 150+ platforms.
Why It Worked
Full Ecosystem Ownership
Ajackus owned the entire integration pipeline—scraping, transformation, authentication, and tooling—enabling end-to-end optimisation.
Process Over Heroics
Shifting from manual integration work to pattern analysis and reusable utilities is what unlocked the 90% time reduction.
AI-Native Thinking
Building Composer to optimise for LLM context limits wasn’t an afterthought—it was a core design decision that made Pica viable for agentic workflows.
Frequently Asked Questions
How can I connect 150+ platforms with one SDK?
Using Pica’s universal integration layer, built by Ajackus, developers can use a single Rust-powered SDK to access 25,000+ executable actions across platforms like Salesforce, HubSpot, and Slack with zero-shot execution—no manual API keys or configuration required.
How does Ajackus optimise integrations for AI context limits?
The team developed Composer, a token optimisation engine that filters raw API data into lightweight, AI-friendly responses. This ensures AI agents only receive the information they need to perform a task, reducing LLM processing costs and improving response quality.
What is Intelliscan and how does it work?
Intelliscan is a high-performance scraper developed by Ajackus that can process OpenAPI and Google Discovery documents in under 5 seconds. It handles complex API structures—including those behind Shadow DOMs—enabling near-instant onboarding of new platforms into Pica’s ecosystem.
How did Ajackus reduce integration development time by 90%?
Through systematic process improvement: moving from manual, one-off integration work to pattern analysis, reusable helper utilities, and automated tooling. This compressed development from 5 days per integration to under half a day, enabling 2–3 new integrations daily.
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