OurPhilosophy
We bring the right blend of strategy, data science, and engineering to help organizations move from pilot to scale. Whether it’s hyperautomation, generative AI, or intelligent decisioning, we make AI adoption viable and valuable.
Capabilities Overview
AI Strategy and Use Case Definition
We align AI potential with your enterprise vision. Through C-suite workshops, opportunity discovery, and value modeling, we define strategic use cases that balance quick wins and long-term platforms.
ML Ops and Scalable Engineering
From pilot to production, we build robust pipelines to train, deploy, monitor, and retrain models at scale. Our MLOps approach ensures AI is not just built—but continuously optimized in production.
Generative AI, NLP, and Voice AI
We harness the power of Large Language Models (LLMs), multimodal transformers, and speech tech to reinvent how humans interact with systems—and how systems create value autonomously.
Data Engineering and Annotation Services
AI is only as good as the data that powers it. We provide full-spectrum data services—from ingestion to transformation to high-precision labeling—tailored for AI/ML workloads.
Spotlight Projects
Developed an intelligent Voice AI agent that qualifies leads, engages prospects in natural conversation, and handles end-to-end sales inquiries. It enhances agent productivity, accelerates deal closures, and ensures 24/7 availability for real estate businesses.
Designed and deployed a GPT-powered assistant to analyze financial reports, assess counterparty risks, and support compliance workflows. The system provides real-time insights and reduces manual effort in identifying credit and operational risks.
Built an AI-driven virtual HR assistant that streamlines hiring workflows, automates candidate screening, and answers employee queries. The assistant integrates with ATS and HRMS platforms to optimize recruitment and employee engagement processes.
Implemented advanced forecasting models using machine learning to predict demand, optimize stock levels, and reduce overstock or stockout situations. The solution empowered retail clients with data-driven inventory planning and improved ROI on supply chain operations.
Enterprise AI
Intelligent systems architecture, AI solution design, and integration with ERP/CRM. Inspired by Deloitte’s AI Factory approach.
Frontend + Backend Innovation
AI-powered app personalization, smart APIs, voice/NLP layers, backend ML models. Benchmarked with Thoughtworks’ tech radar.
ML Ops & AI Engineering
CI/CD pipelines for AI/ML, model versioning, reproducibility, monitoring. Aligns with PwC’s AI Ops frameworks.
AI Governance
Responsible AI implementation, bias detection, Regulatory compliance (GDPR, AI Act). Similar to Accenture’s Responsible AI protocols.
Smart Automation
Robotic Process Automation (RPA), cognitive automation using AI agents.
Learning Loops
Embedded feedback systems in products to retrain models, enabling adaptation over time.
Our AI & Tech Stack
01
Problem solved
We tackle your toughest business challenges with precision and expertise, turning obstacles into opportunities for growth
02
Team structure deployed
We deploy agile, cross-functional teams tailored to your project needs, combining deep industry expertise with specialized skills.
03
Outcome delivered
Our strategic capabilities are designed to drive real, measurable outcomes that transform your business:
01
Problem solved
We tackle your toughest business challenges with precision and expertise, turning obstacles into opportunities for growth
02
Team structure deployed
We deploy agile, cross-functional teams tailored to your project needs, combining deep industry expertise with specialized skills.
03
Outcome delivered
Our strategic capabilities are designed to drive real, measurable outcomes that transform your business:
01
Tools used (e.g. TensorFlow, Azure, LangChain)
We leverage a curated stack of cutting-edge tools—from open-source frameworks like TensorFlow to enterprise-grade platforms like Azure and LangChain.This ensures scalability, interoperability, and faster deployment of AI-led solutions tailored to your ecosystem.
02
Business Context
Our solutions address real-world business challenges—whether it’s automating workflows, enhancing CX, or unlocking insights from unstructured data.We align every AI initiative with your strategic objectives, industry needs, and operational maturity.
03
Time to Impact
Rapid prototyping begins in days, with MVPs typically delivered in 4–6 weeks and full-scale deployments in under 90 days.
We prioritize measurable outcomes from day one, accelerating time-to-value and ROI realization.
How We Work
At IBU, our AI-driven transformation approach is built for precision, agility, and measurable impact. We collaborate deeply with clients through a dynamic, iterative process—turning complex data and technology into strategic business advantage.
1. Assess
Discovery workshops + problem framing.
2. Architect
Solution co-design with clients + stakeholders.
3. Accelerate
Agile build + test + deploy in sprints
Business Value Unlocked
Driving AI-led transformation that delivers clear, quantifiable business value.Our work leads to
80%
Reduction in process latency
60%
Improvement in predictive accuracy
3x
Productivity gain across teams
Explore More
Explore Our AI Stack
See Real-World AI Use Cases
Book AI Discovery Session
Get personalized insights and a clear action plan in
a 1:1 session with a senior strategist.
What Our Clients Say
“IBU has been a reliable partner for our staffing needs across Europe. Their quick turnaround, market insight, and consistent delivery of quality talent have made a strong impact on our hiring success.”
- Bristlecone
“Working with IBU has been a great experience. Their team understood our hiring needs and consistently delivered high-quality, well-matched candidates. Their transparent communication and genuine focus on the right fit, both for us and the candidates—set them apart. IBU has become a trusted partner we confidently recommend.”
Prodapt
“Working with IBU Consulting has been a great experience. Their team is reliable, responsive, and always delivers quality talent—whether for niche tech roles or high-volume needs. Their consistent support, strong communication, and proactive approach make them a trusted hiring partner we’re always happy to work with.”
Ubique digital
“Our experience with IBU has been smooth and positive. Their team is responsive, detail-oriented, and adaptable to our evolving needs. Timely communication, technical support, and proactive updates have helped us stay on track. Their commitment to quality and quick issue resolution stood out. We look forward to continuing our partnership.”
Deloitte
FAQs
ML Ops, or Machine Learning Operations, refers to the practices and tools used to deploy and maintain machine learning models in production reliably and efficiently.
We implement robust frameworks to manage AI risks, ensuring compliance with regulations like GDPR and HIPAA, and promoting ethical AI use.
Yes, we offer flexible deployment options, including both cloud-based and on-premise solutions, tailored to your organization’s needs.
