Giselle
Build and orchestrate intelligent AI Agents with visual, node-based workflows
About Giselle
Challenges It Solves
- Complex AI systems require extensive coding, limiting adoption among non-technical users
- Coordinating multiple LLMs and data sources across workflows creates operational complexity
- Managing multi-agent interactions and ensuring reliable collaboration at scale is difficult
- Organizations lack visibility and governance over AI Agent behavior and decision-making
- Integrating new data sources and LLMs into existing agent systems requires significant rework
Proven Results
Key Features
Core capabilities at a glance
Node-Based Visual Interface
Intuitive drag-and-drop workflow design without coding
Enable business users to create AI workflows independently
Multi-LLM Orchestration
Connect and coordinate multiple language models simultaneously
Leverage specialized models for optimal task-specific performance
Data Source Integration
Seamlessly link diverse data sources into agent workflows
Unify information from 10+ data repositories in single workflow
Agent Collaboration Framework
Enable multiple agents to work together on complex tasks
Reduce complex task resolution time by 40+ percent
Real-Time Monitoring & Analytics
Track agent performance and decision-making in real-time
Gain complete visibility into AI system behavior and outcomes
Version Control & Rollback
Manage agent versions with easy rollback capabilities
Maintain system stability while testing new agent configurations
Ready to implement Giselle for your organization?
Real-World Use Cases
See how organizations drive results
Integrations
Seamlessly connect with your tech ecosystem
OpenAI GPT Models
Native integration with GPT-3.5 and GPT-4 for advanced language understanding and generation capabilities
Anthropic Claude
Seamless connection to Claude models for enhanced reasoning and specialized task performance
Google Cloud Vertex AI
Integration with Google's enterprise AI models and services for scalable LLM deployments
AWS Bedrock
Connect to AWS managed foundation models and LLMs for enterprise cloud-native AI workflows
Slack
Deploy AI agents directly into Slack for team collaboration and real-time agent-assisted workflows
Salesforce
Integrate AI agents with Salesforce CRM to automate customer intelligence and process workflows
Databricks
Connect to Databricks data lakehouse for advanced data processing within agent workflows
REST APIs
Custom REST API integration for connecting proprietary systems and third-party applications
A Virtual Delivery Center for Giselle
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Giselle
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists
Implementation Timeline
See how it works for your team
Alternatives & Comparisons
Find the right fit for your needs
| Capability | Giselle | Radicalbit | Bramework | HyperWrite |
|---|---|---|---|---|
| Customization | ||||
| Ease of Use | ||||
| Enterprise Features | ||||
| Pricing | ||||
| Integration Ecosystem | ||||
| Mobile Experience | ||||
| AI & Analytics | ||||
| Quick Setup |
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