Gieom Labs: Where Innovation Meets Execution
At Gieom Labs, we don’t just envision the future, we build it.
Innovation starts here. The future is being built at Gieom Labs.
As the R&D powerhouse of Gieom, we explore cutting-edge technologies to craft next-generation solutions that seamlessly enhances our flagship.
MagpieAI strengthens our existing product portfolio .
From AI-driven insights to advanced automation, Labs is where groundbreaking ideas transform into real-world impact.
Labs Team
Our team is a dynamic combination of skilled developers, analysts, and testers, working together to drive groundbreaking advancements that elevate Gieom’s products. Committed to staying at the forefront of technological evolution, we continuously pioneer and create innovative solutions that not only enhance our offerings but also anticipate and adapt to the ever-evolving needs of our clients and industries.
Why Choose Us?
Transforming Compliance with Intelligent Insights
MagpieAI is a state-of-the-art generative AI tool designed to revolutionize banking, regulatory, and compliance document management. It effortlessly processes vast amounts of specialized data, transforming complex information into actionable insights and services. Trained on diverse real-world use cases, MagpieAI seamlessly combines power and precision, ensuring businesses stay ahead in an ever-evolving regulatory landscape.
Your AI-Powered Banking & Compliance Expert
MagpieAI is more than just an AI assistant, it’s an industry expert trained in banking and regulatory frameworks. It doesn’t just answer questions; it analyzes, predicts, and assesses risks, offering deep insights tailored to your needs. By automating manual, time-consuming tasks, MagpieAI empowers organizations to boost efficiency and make informed decisions effortlessly.
Flexible, Model-Agnostic, and Deployment-Ready
MagpieAI is built on the best of Generative AI, offering a model-agnostic approach that supports on-cloud and on-premise deployments. It has been rigorously tested across multiple LLM platforms, including OpenAI, Meta, Google, and others, ensuring seamless adaptability. With support for regional language models, MagpieAI delivers localized, high-performance AI solutions for diverse business needs.
Use Cases
1.
GenAI Powered Clause Extraction and Policy Management
Effortlessly upload policy documents and leverage MagpieAI to automatically extract key clauses. Our intuitive interface allows you to review, edit, and fine-tune each extracted clause, ensuring your policies are always clear, accurate, and up-to-date.
2.
Automating Security Risk Analysis in Process Documents
Problem statement
Manually analyzing process documents for security risks is time-consuming, labor-intensive, and prone to human error. As regulations become more stringent, manual reviews are no longer scalable, increasing the risk of missed threats and compliance failures.
Solution
Our Risk Analysis site/bot automates the process of document analysis, enabling rapid identification and categorization of security risks. By flagging vulnerabilities and providing tailored mitigation recommendations, we help organizations proactively manage risks, stay compliant, and reduce the likelihood of security breaches. This streamlined approach ensures faster, more accurate risk assessments, minimizing the chances of costly penalties and reputational damage.
3.
Streamlining Process Documentation for Compliance and Efficiency
Problem statement
Creating detailed and consistent process documentation is crucial for audits and regulatory compliance but can be tedious and prone to errors or omissions. This challenge is even greater in fast-paced financial environments, where maintaining accuracy and standardization is difficult.
Solution
Our Process Generation site/bot automates documentation by expanding high-level or user-described process steps into comprehensive records. This ensures standardized, detailed documentation that supports audits, employee training, and process improvement efforts, helping organizations maintain compliance and operational clarity with ease.
4.
Simplifying Contract and Policy Compliance with MagpieAI
Problem statement
Contract and policy documents are often complex and heavily worded, making it time-consuming to ensure full compliance with regulatory mandates. The review and approval process typically involves multiple stages, adding further delays and inefficiencies.
Solution
MagpieAI streamlines contract and policy analysis by ingesting regulatory clauses and documents, quickly identifying compliance gaps. It provides a clear, simple compliance check while pointing users to the relevant regulatory sources. Additionally, it suggests specific statements and placements to ensure full compliance, reducing review cycles and improving efficiency.
5.
Enhancing Incident Management with MagpieAI
Problem statement
Incident management and reporting can be a tedious, manual process. Often, the necessary information is either missing or insufficient, leading to a back-and-forth cycle that delays prompt action, especially for critical business processes.
Solution
MagpieAI simplifies incident reporting by guiding users through the process to create detailed, meaningful descriptions. Acting as a wizard, it helps categorize the incident and ensures all mandatory and crucial information is captured. This results in faster reporting, quicker handling, and a streamlined incident audit cycle.
Solution Components
Agentic System Architecture
Agentic System Architecture
Our framework where intelligent agents collaborate to perform meaningful tasks, delivering collective intelligence and accelerating decision-making.
Orchestration Engine
Orchestration Engine
A central hub that coordinates agent interactions, ensuring smooth data flow, and managing tasks like handling hallucinations, preventing loops, and dynamic decision-making.
Hallucination and Loop Prevention Mechanisms
Hallucination and Loop Prevention Mechanisms
Algorithms designed to detect and prevent incorrect information (hallucinations) and stop agents from repeating irrelevant cycles, ensuring more accurate and efficient responses.
Dynamic Document Processing
Dynamic Document Processing
A flexible system that can adapt to different document formats and extract the needed information, either detailed or concise, based on the use case.
Background Processing
Background Processing
Scalable infrastructure that processes large datasets or documents in the background, enabling efficient batch operations without impacting real-time performance.
Continuous Testing and Iteration
Continuous Testing and Iteration
An ongoing development cycle focused on testing and refining the system’s performance, ensuring answers are accurate, simple, and reliable based on user feedback.
Sector-Specific Knowledge Integration
Sector-Specific Knowledge Integration
The inclusion of domain-specific expertise within the engine, enabling it to provide tailored, context-aware responses that draw on specialized industry knowledge like banking.
Referential Response Capabilities
Referential Response Capabilities
A system that can point users to relevant sources or previous responses, making information traceable and verifiable for greater trust and transparency.
MagpieAI – Multi Agent Prompt Engine
MagpieAI is a cutting-edge generative AI tool designed to transform banking, regulatory, and compliance document handling. It processes vast amounts of specialized data, delivering valuable insights and services. Trained on diverse use cases, MagpieAI bridges simplicity and sophistication to keep you ahead in a rapidly evolving landscape.
More than a question-answering assistant, MagpieAI predicts future activities, assesses risks, and automates manual tasks in the banking and regulatory sectors. Tested across multiple models from OpenAI, Meta, Google, and others, it also offers regional assistance.
Frequently Asked Questions
Does MagpieAI use OpenAI?
MagpieAI uses LLMs, including offerings from OpenAI. It is built to be LLM agnostic-i.e, it can work with any LLM model. This ensures that it can work with your existing subscription or installation on your cloud or on premise. The accuracy and verbosity of the generated response however, will vary according to the model used.
Can I build a solution using MagpieAI in my site?
Currently MagpieAI is available only as pre-built solutions for use cases. Our solution team will take up use cases after analysis. Our team is currently working on developing a standalone solution which will enable you to create your own custom solution by feeding in data to the MagpieAI pipeline. This will be a cloud-only offering due to the heavy reliance on GPUs.
What do I need to set up a MagpieAI site?
For a cloud deployment, you will require an LLM subscription(the best one available right now is Azure OpenAI subscription) and a hosting server for the solution. For customised on-premise deployments, a GPU server will also be required where an open-source LLM model(such as Meta Llama) will have to be deployed. Please reach out to our team to know about detailed specifications for your requirement.
How often is MagpieAI upgraded?
As a principle, MagpieAI is a solution that is constantly evolving. Our technology undergoes a full refresh every two to three months, with newer versions made available. Cloud deployment updates can be scheduled easily whenever new versions are released. On-premise updates are typically approval-based and will require support from your IT team for installation.
How quickly can a site be deployed on cloud?
MagpieAI is a fully containerised solution. Initial setup and tests can be completed within an hour, provided all requirements are met.