
Solutions for You

Trusted by conglomerates, enterprises and startups alike






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What do our clients say
Octet Advisors brought vision and a strategic approach to our product, driving key improvements, within constraints, that impacted our business positively. While working with them, we saw improved conversion rates, higher ARR and significant new product releases. Octet team consists of collaborative, data-driven and research oriented professionals.
Ori Greenberg
CEO, Cluster-Algopix
Thanks for supporting us in digital journey of developing various cutting edge solutions for us including energy price prediction platform. Your solution driven approach and deep tech knowledge resulted positive outcomes from these initiative. Good work and keep it up.
Gyan Shrikrishan
CIO and EVP, GMR Group
Thanks for designing, developing and implementing our greenhouse automation program. The IoT and Machine Learning enabled ecosytem that Octet stitched for us is leading to 23% incremental farm yields for our protected cultivation business.
Karan Tanwar
Managing Director, Aright Greentech

A
Identify Business Goals
We define the specific areas in your program where Synthetic Datasets, Generative AI, Machine Learning can provide value and align with your overall strategic objectives.
B
Data Gathering
We collect and organize relevant data sets that form the basis of synthetic datasets, associate machine learning models and AI implementation. We ensure quality and diversity in the data to improve accuracy.
C
Model Training
We utilize advanced machine learning techniques to train the model based on the data collected. We experiment with different algorithms and optimize parameters for better results.
D
Testing and Validation
We validate the trained model with test data to ensure it performs as expected. Conduct thorough testing to identify any issues and refine the model accordingly.

F
Monitoring and Maintenance
We continuously monitor the performance of the models in real-world applications to identify any issues or improvements needed. Regularly update and refine the model to stay relevant and effective over time.
E
Integration
We integrate synthetic datasets, machine learning models into your program, ensuring seamless interaction with existing features and user experience.
Providing custom
AI-Powered Solutions

Unlock the Power of Synthetic Data for Healthcare Innovation
Transform drug development, clinical trials, and patient analytics with privacy-compliant, AI-driven synthetic data solutions.
Synthetic Data for Pharma R&D
Generate realistic, privacy-compliant datasets to accelerate drug discovery and development
Synthetic Data for Clinical Trials
Improve trial efficiency and simulate diverse patient populations with high-quality synthetic data.
Population Health Analytics
Model large-scale healthcare trends while ensuring data privacy and security.
Built by Professionals, for Professionals
We have 15+ years of data driven program management experience in complex software service delivery, monetisation and growth.
We excel in managing cross functional agile development teams, partnering with varied stakeholders and leading sprints. Our expertise lies in decomposing long term programs into measurable blocks and managing delivery with distributed teams.
We can help you in planning resilient solution architecture as well. We can be your partners in growth and you can count on us to assist you in all strategic, technical and marketing aspects of your software startup.

Work
Private deployment, training and fine tuning of Google Flan T5 Base Model to enhance ecommerce product catalog data for a leading data company

Design led conversion rate optimisation for mobile app of a unicorn healthcare startup that simplifies elective surgery experience

Designed app and web interface for a multi airport product and travel experience app for

Multi-interface product funnel strategy to drive users to an airport and travel experience app

Day ahead electricity price prediction tool using long short-term memory (LSTM) deep neural network and embedded methods for feature selection
