Amlgo Labs is a data analytics and AI consulting firm specializing in helping businesses reduce costs and drive revenue through intelligent automation. We've helped companies across finance, healthcare, retail, and manufacturing to achieve measurable results in data processing, improvement in data processing capacity, and real-time insights that drive business decisions.
Our expertise spans Data Analytics, Machine Learning, Generative AI, and Cloud-Native Architecture. We deliver end-to-end solutions from predictive analytics and big data processing to AI model development and automation that creates operational efficiency.
What sets us apart: We follow an Agile approach with projects typically delivering proof-of-concept in 4-8 weeks. Our team works in sprints with regular feedback, ensuring alignment with your business goals. We specialize in cloud-native solutions (AWS, Azure, GCP) that scale with your growth while minimising costs.
Industries we serve: Finance (predictive modelling, fraud detection), Healthcare (patient data analytics, AI diagnostics), Retail (customer segmentation, demand forecasting), Manufacturing (predictive maintenance, supply chain optimisation), and Technology (ML model deployment, data pipeline architecture).
Whether you're looking to migrate to cloud-native architecture, implement predictive analytics, or leverage Generative AI for automation, Amlgo Labs delivers measurable ROI with proven methodologies.
"If you need a partner who understands the 'Agentic Era' and advanced analytics, Amlgo Labs is the one."
Jan 29, 2026
Director, HERO IT Inbuilt
John Dave
Automotive
United States
11-50 Employees
Online Review
Amlgo Labs has helped an automotive company modernize their data infrastructure by building seamless pipelines and implementing LLM agents. The team has also delivered Power BI dashboards.
Amlgo Labs has delivered an end-to-end solution that has resulted in 50% cost and time savings. The team has delivered top-notch results, building scalable data pipelines, integrating smart LLM agents, and creating stunning Power BI dashboards.
BACKGROUND
Introduce your business and what you do there.
I’m the director of Hero It Inbuild, an automotive company. We manufacture parts to supply to automobiles.
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Amlgo Labs to accomplish for your company?
We recently partnered with Amlgo Labs for a critical project involving AI and data analytics, and the results exceeded our expectations.
SOLUTION
What was the scope of their involvement?
Amlgo Labs has helped us modernize our data infrastructure by building seamless pipelines and implementing LLM agents that have significantly improved our operational efficiency. The Power BI dashboards they’ve delivered provide clear, real-time insights that are now central to our decision-making process.
What is the team composition?
We’ve worked with 2–5 teammates from Amlgo Labs.
How did you come to work with Amlgo Labs?
Amlgo Labs was referred to me. I chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, and their company values aligned with ours.
How much have you invested with them?
We’ve spent around $10,000–$50,000.
What is the status of this engagement?
We started working with them in January 2026, and our engagement is ongoing.
RESULTS & FEEDBACK
What evidence can you share that demonstrates the impact of the engagement?
Amlgo Labs has delivered an end-to-end solution that has resulted in 50% cost and time savings.
How did Amlgo Labs perform from a project management standpoint?
We primarily communicate with Amlgo Labs through virtual meetings.
What did you find most impressive about them?
Big shoutout to Amlgo Labs for their exceptional work on our latest AI project! From building scalable data pipelines to integrating smart LLM agents and creating stunning Power BI dashboards, their technical team has delivered top-notch results. If you need a partner who understands the 'Agentic Era' and advanced analytics, Amlgo Labs is the one.
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