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Push the envelope with future-focused AI solutions

See how Tiger’s AI Engineering approach future proofs your AI initiatives

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High performance AI solutions for sustained value creation

Most global organizations have experimented with AI in some form. Translating that to sustainable competitive advantage though, requires continuous focus on two key areas – leveraging cutting-edge AI algorithms even as they evolve, and deploying them at scale to realize significant value.

By operating at the bleeding edge of fast evolving areas like NLP, Computer Vision, and Reinforcement Learning and leveraging this to develop business solutions, Tiger Analytics can help significantly transform your business: from delivering better customer experience, faster delivery of actionable insights at decision time, and intelligent automation of complex business processes and operations

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What we do

NLP and Generative AI
Accelerate insights from a wide range of unstructured text sources by leveraging our NLP expertise spanning conversational bots, intelligent search, query-to-insights, and code generation. Go beyond traditional chatbots to enable richer, human-like conversations and dynamic queries. Unlock internal process efficiencies with semantic search and Q&A, powered by Large Language Models. Integrate ready-to-use LLMs or build custom-LLMs for your business.
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Computer Vision and Generative AI
Go beyond off-the-shelf CV solutions, and use Tiger expertise to build and configure bespoke CV solutions for your business. Utilize our curated set of state-of-the-art models spanning Generative AI , active learning, satellite image processing, action recognition, object tracking & detection. Tiger’s rich domain experience and mature ML Ops practice ensure our solutions are business-relevant and highly scalable.
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Reinforcement Learning
Hard-to-model systems can benefit significantly from the Reinforcement Learning paradigm, where agents learn to make correct decisions to achieve desired outcomes. Real-life use cases include Intelligent inventory allocation for better sell-through and margins, discount strategies that balance customer experience and value, and manufacturing process parameter controls for yield optimization.
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AI on Edge
Deploy AI applications on smart connected network endpoints. Instead of running AI models on the cloud, we build miniatured AI models on the network edge of connected devices. We counter the challenges of storage, memory, compute resources, etc., and build large neural networks or other ML models. IoT models on the edge of heavy machines to miniature tags, Language AI on smartphones, Vision AI on security cameras, etc. are examples where we have deployed AI on edge.
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Why choose us?

Deep technical expertise across NLP, LLM, RL, CV and more
Computer Vision solutions for Retail, Insurance, Industrial Safety, Agriculture etc.
A full range of Conversational and Generative AI based solutions
Cross-functional teams bringing Data, AI, and business to drive adoption

Customer stories

Boosting customer call resolution for a UK retail bank
Boosting customer call resolution for a UK retail bank
Tiger Analytics implemented a deep learning-based solution that used an active learning loop to analyze call resolution based on customer conversations, quickly creating an 85% accurate model with 100% coverage.
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Reducing rack execution time by ~85% with automated planogram compliance
Reducing rack execution time by ~85% with automated planogram compliance
Tiger Analytics' computer vision-driven AI solution enhanced in-store retail execution across geographies, covering strategy, compliance, reporting, and analytics.
Readshp-arrow-topright-large
Redefining data retrieval of 3K documents with a Gen AI model
Redefining data retrieval of 3K documents with a Gen AI...
Tiger Analytics implemented a Gen AI model-based solution for designing an automatic information retrieval system with 65% accuracy.
Readshp-arrow-topright-large
Boosting customer call resolution for a UK retail bank
Boosting customer call resolution for a UK retail bank
Tiger Analytics implemented a deep learning-based solution that used an active learning loop to analyze call resolution based on customer conversations, quickly creating an 85% accurate model with 100% coverage.
Readshp-arrow-topright-large
Reducing rack execution time by ~85% with automated planogram compliance
Reducing rack execution time by ~85% with automated planogram compliance
Tiger Analytics' computer vision-driven AI solution enhanced in-store retail execution across geographies, covering strategy, compliance, reporting, and analytics.
Readshp-arrow-topright-large
Redefining data retrieval of 3K documents with a Gen AI model
Redefining data retrieval of 3K documents with a Gen AI...
Tiger Analytics implemented a Gen AI model-based solution for designing an automatic information retrieval system with 65% accuracy.
Readshp-arrow-topright-large
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