We don't wrap APIs.
We architect intelligence.

Soham Vighney

Co-Founder & CBO

Marketing MBA candidate with hands-on experience in AI-driven business solutions, digital marketing, and startup growth. Currently involved in building and scaling an AI-focused technology venture, working at the intersection of artificial intelligence, automation, and product execution. Experienced in client acquisition, strategic communication, and social media–led growth for technology and service-based businesses. Has collaborated on AI automation projects, content-driven brand building, and go-to-market strategies for early-stage startups and agencies. Strong academic foundation in marketing analytics, brand management, digital marketing, and consumer behavior, complemented by practical exposure to research, presentations, and business strategy development. Actively exploring opportunities in AI applications for business operations, marketing optimization, and emerging technologies. Driven by a structured, analytical mindset with a focus on building scalable systems, data-informed decision-making, and long-term value creation.

Ajinkya Tamhankar

Co-Founder & CTO

I am a fourth-year B.Tech student in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. As an aspiring Computational Neuroscientist, I am passionate about building intelligent systems that bridge the gap between neuroscience and deep learning to decode the human brain and improve clinical diagnostics. Currently, I work as a Research Intern at the BETiC Lab, where I’m developing medical imaging models to predict hemoglobin levels from conjunctiva, palm, and nailbed images using CNN-based segmentation and regression pipelines. I am also working on a project for EEG signal classification using spectrograms. I have also contributed to deep learning research for early ovarian cancer detection. My technical expertise spans Deep Learning, Computer Vision, and Biomedical AI, with hands-on experience in tools like PyTorch, Roboflow, OpenCV, and Scikit-learn. My projects reflect real-world applications in disease prediction, image segmentation, signal processing, and healthcare analytics. I aim to pursue a PhD in Computational Neuroscience and work at the intersection of brain science, artificial intelligence, and biomedical research—driving scientific discovery and building technologies that benefit human health.