Globalbit | פיתוח אפליקציית מסחר מבוססת AI עבור IBI – פתרון פינטק מתקדם עם 500,000 משתמשים

Vadim Fainshtein — Mon, 23 Jun 2025 14:36:46 +0000

בעידן שבו חוויית המשתמש והחדשנות הדיגיטלית הם המפתח להצלחה, שיתוף הפעולה בין Globalbit לבית ההשקעות IBI הוליד את IBI Smart – אפליקציית המסחר הראשונה מסוגה בישראל, המשלבת בין נוחות, טכנולוגיה מתקדמת ובינה מלאכותית.
🚀 האתגר: יצירת פלטפורמת מסחר חדשנית ונגישה

IBI ביקשה לפתח אפליקציה שתאפשר לכל משתמש, מתחיל או מנוסה, לסחור בשוק ההון האמריקאי בקלות, תוך שמירה על רגולציה מחמירה ואבטחת מידע ברמה הגבוהה ביותר.
🛠 הפתרון: פיתוח משולב עם Globalbit

Globalbit הובילה את פיתוח האפליקציה משלב האפיון ועד להשקה, תוך שילוב צוותי הפיתוח של IBI בתהליך. העבודה המשותפת אפשרה יצירת מוצר המותאם לצרכים העסקיים והטכנולוגיים של הלקוח, עם יכולת התרחבות עתידית.
💡 התוצאה: אפליקציה פורצת דרך

IBI Smart מציעה למשתמשים:
מסחר בזמן אמת במניות וב-ETFs בארה"ב
גישה להמלצות אנליסטים מובילים באמצעות TipRanks
ניתוח דוחות פיננסיים מבוסס AI
פתיחת חשבון דיגיטלית מהירה
ממשק משתמש ידידותי ונוח
האפליקציה זכתה להצלחה מרשימה עם למעלה מ-500,000 הורדות ודירוג של 4.9 כוכבים ב-Google Play.
לינק ישיר
🧩 מסקנה

שילוב נכון בין הבנה עסקית עמוקה, ביצוע טכנולוגי מדויק ושותפות אמיתית בין הצוותים – הוא מה שהפך את Globalbit לשם מוביל בפיתוח פתרונות דיגיטליים ו-AI לארגונים.
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גלובלביט הוא בית תוכנה ישראלי עטור פרסים עם מעל ל-200,000,000 משתמשים במערכות שפותחו ללקוחות בתחומי פיננסים, תחבורה ורפואה_

title: "Globalbit | פיתוח אפליקציית מסחר מבוססת AI עבור IBI – פתרון פינטק מתקדם עם 500,000 משתמשים"

Agentic AI in Practice: How Globalbit is Building Domain-Specific Intelligence at Scale

Vadim Fainshtein — Mon, 23 Jun 2025 09:11:54 +0000

Over the past decade, Globalbit has become a central player in Israel’s software ecosystem, particularly in high-stakes sectors such as health tech, fintech, and smart transportation. While the company is best known for developing large-scale digital systems used by millions, its more recent work in generative and agentic AI offers an instructive case study in how artificial intelligence can be operationalized within complex enterprise and government environments.

This article explores how Globalbit is building practical, robust, and secure AI agents — focusing on architecture, integration challenges, and use cases — without relying on generic LLM wrappers or overhyped prototypes.

From Foundation Models to Functional Systems: The Agentic AI Framework

At the core of Globalbit’s approach is a proprietary Agentic Framework — a set of architectural patterns, tooling, and runtime environments designed for building AI agents that are goal-driven, context-aware, and interoperable with existing enterprise systems.
Unlike traditional applications of large language models, which often remain siloed or fragile, this framework emphasizes:

Task orchestration: Agents are designed to reason about multi-step objectives, not just generate single outputs.
System integration: Agents can read from and write to existing systems (e.g., case management, knowledge bases, CRM).
Security and compliance: Built-in support for data sensitivity classification, audit logging, and regulatory constraints.

The framework is domain-agnostic but configurable, allowing rapid adaptation to sector-specific requirements in fields like law, publishing, healthcare, and urban planning.

Case Studies: Applied Agentic Systems

1. Legal Automation — Psika.ai
In the legal domain, Globalbit deployed Psika.ai, a system that supports lawyers by automating core reasoning tasks. Instead of functioning as a chatbot, Psika is structured as a modular agent system:

One agent handles precedent retrieval from national databases.
Another composes argument structures based on local legislation.
A third agent assists in summarizing and cross-referencing judicial logic. The system is currently in use at a Tel Aviv law firm, where it reduced manual research time by more than 40%. Importantly, Psika does not replace legal judgment but augments it, enabling legal professionals to focus on strategic thinking.

2. Narrative Structuring — Bookmind
Bookmind was developed for content creators facing structural bottlenecks — either due to cognitive load, workflow friction, or sheer writer’s block.
Rather than generating text arbitrarily, Bookmind breaks down the writing process into composable tasks:

Identifying narrative arcs and themes
Suggesting chapter structures
Visualizing conceptual maps What makes Bookmind notable is its human-in-the-loop design: it operates more like an editorial assistant than an autonomous generator.

3. Redefining R&D — Omnia
Omnia is an internal platform that evolved into a productized tool. It addresses a specific pain point: fragmented product documentation and undefined development scopes.
Key functions include:

Translating product requirements into functional and technical documents
Suggesting features based on structured market data
Managing documentation versioning and cross-team alignment Omnia integrates directly with task management systems (e.g., Jira) and version control (e.g., Git), embedding AI not as a parallel layer but as a cognitive extension of the workflow.

Technical and Organizational Considerations

Globalbit’s success with these systems is not purely technical — it stems from a multidisciplinary understanding of deployment contexts.

Vertical specialization: Teams are embedded in domains like healthcare, defense, and mobility. This reduces misalignment between models and users.
DevSecOps integration: The AI layer is treated as part of the core infrastructure, with shared observability, security, and failover policies.
Data governance: Sensitive data pipelines are designed with layered permission models and strict auditing — especially relevant in medical and legal environments. This systems-thinking mindset prevents AI from becoming a bolt-on tool and instead allows it to become a reliable actor in critical operations.

Conclusion: What Can Be Learned from Globalbit’s Approach?

Globalbit’s work illustrates a broader trend: the shift from demo-oriented GenAI toward agentic systems embedded in enterprise workflows.
The key takeaways are:

AI systems need to be designed with domain logic, compliance, and user trust in mind.
Agent-based design patterns offer a scalable way to build adaptive, goal-oriented applications
Success lies in integration, not novelty.

In a landscape dominated by prototypes and unscalable pilots, Globalbit’s contribution is valuable precisely because of its focus on durability, security, and alignment with real-world constraints.

Globalbit is a leading software development company in Israel specializing in Digital and AI solutions for enterprises, e-Gov and fast-pace startups.