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Unlimited Opportunity with AI/GenAI

Business-led data consumption and operational rigor leveraging Data Quality (SSOT)

We are a trusted partner in data and AI dedicated to helping companies unlock the full potential of their data through innovative solutions and strategic insights. Our approach centers around the concept of - Next Level ROI through Business-Led Data, Consumption, SSOT, and GenAI/AI.

We believe that by deeply understanding what the business needs, establishing a Single Source of Truth (SSOT), and leveraging cutting-edge AI technologies, we can help businesses achieve remarkable results.

Maximize the Impact of AI with an Outcome-Based Model!

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Human-Centred Design.
Problem First Approach.

Based on a human-centered design approach, we closely collaborate with users and stakeholders to ensure our solutions address real business needs and deliver tangible results. Our process involves shadowing users, understanding their pain points, and identifying where GenAI can have the most significant impact. This user-centric discovery phase leads to the development of prototypes and a detailed architecture plan

On the execution side, we leverage our extensive data and AI expertise to build and scale solutions effectively. By connecting the initial discovery phase with robust implementation capabilities, we ensure that our solutions are not just theoretical but are grounded in reality and deliver measurable value. 

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Key Clients

Blog Post

GenAI in HR Analytics – Strengths, Limitations, Workarounds — Part I

Talent for Holistic AI

Based on our practitioner-led approach, we bring a comprehensive mix of talent with holistic AI capabilities to efficiently build the right AI solutions for maximum impact. They play distinct roles in the entire process of discovery to execution.

Storytellers

Visualization experts who provide actionable business insights through reporting, KPIs, scorecards, dashboards & narratives.

Investigators

Statisticians and probability experts with PhD and other advanced degrees in Stats, Econometrics etc. They are proficient in making the data talk.

Builders

ML/AI /MLOps Engineers who craft modular, scalable code/pipelines to productize ML/AI solutions.

Altimetrik AI/GenAI Accelerators
for Business Efficiency and Growth

Centered around our business-driven methodology, our host of AI/GenAI accelerators are built to address specific tangible challenges and deliver results with efficiency and speed. Depending on the problem statement or goal, they combine Generative AI, Discriminative AI and Rule-based AI models into simple, easy to deploy accelerators for quick hyper-tuning and deployment to situational business needs reducing deployment efforts by up to 60%.

Intelligent Document Processor (IDP)

Up to 80% of organizational data is unstructured, with 93% of mortgage lenders stressing the importance of document classification to reduce errors. IDP, a GenAI-based accelerator, processes complex documents—like watermarked, blurry, or formatted files—into readable formats. Use cases include extracting data from tables, patient reports, and invoices, and validating documents like KYC forms.

Generic Recommendation Engine (GRE)

A multi-layered recommendation accelerator based on an ensemble model that learns customer and product behavior to generate tailored recommendations. GRE adapts to customer, industry, and domain constraints, allowing businesses to set dynamic constraints for specific cohorts.

GenAI Based Anomaly Detection Engine (GADE)

A multi-layered anomaly detection accelerator using an ensemble model to identify deviations from normal data behavior. GADE detects anomalies in single-variable, multi-variable, and time-series data across various domains.

Business Decision Engine (BDE)

Traditional business decisions, like forecasting and price optimization, often relied on instincts or rule-based systems, leading to errors. A March 2019 study found that 25% of respondents reported inaccurate financial forecasts. BDE combines expert knowledge with machine expertise to overcome data challenges and deliver more accurate results.

Synthetic Data Generator (SDG)

Many organizations struggle with limited data, making AI/ML models less effective on real-world edge cases. SDG addresses this by generating synthetic data that retains feature interactions and includes rare edge cases, improving model performance in uncommon scenarios.

Voice of X (VOX)

Get deeper and more accurate insights from the voice of customers, employees, suppliers etc., through the most advanced and intricate sentiment analysis generator – VOX. Extract context-sensitive insights from unstructured data (free text – e.g., posts, comments, feedback, etc.) generated by various stakeholders scattered across platforms to uncover insights and enable better decision making.

Blog Post

GenAI in HR Analytics – Strengths, Limitations, Workarounds — Part II

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Business Approach To Use Case Selection and AI

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