Product Design, Solution Architecture and high-ROI for Data, ML & Gen-AI
Leverage the power of hands-on product design & innovation to transform data platforms, LLM-apps and AI industry solutions
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Re-Energize your investments in Data, ML, Gen-AI with in-the-trenches support.
Elevate Your Business with LLM Products, Data Modernization and Retail & Supply Chain AI
We build the right data modernization for your AI, enable true LLM products and deploy high ROI Industry AI.
Data Modernization
Setup your firm's data for AI apps - LLMs, Tabular-ML, RL + get standard cloud data modernization. Biz strategy handcuffs due to data mess, are removed.
Industry AI - Retail, Supply Chain
Build Retail, Supply Chain, Sales AI on top of Sagemaker MLOps enhancements - for consistent ROI & low TCO apps, with q-o-q financial value.
LLM-RAG & Agents
Productized LLM-RAG dev, deploy & Ops. Optimize perf & costs and build high ROI Gen-i apps + industry Agentic flows.
AI Architecture & Roadmap
Product design, architecture, positioning, roadmap for gen-ai, AI and data products. Based on decades of experience shipping code for lrge tech firms.
Product Focus
Innovations
Dakshineshwari product & services offers are backed by deep intellectual property, which is in the process of being built out, but can also be delivered to customers in a customized form.
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Data Intelligence Ops
Fully connected DataOps architecture , to improve MTBF & cost of ops for any existing data platform + introduces set of operations to enhance semantics of existing data. This makes setup for RAGs, complex tabulr ML & RL simpler and results more accurate.
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LLM Product Recipes
Complex LLM apps in sales support, customer journey, financial reports & supply chain mgmt, need product recipes that define agentic flows, multi-step inference chains, information models/retrivers and eval processes. Recipes pull hese together to simply the creation of complex LLM apps
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Data Centric MLOps
Best of breed MLOps platforms like Sagemaker need enhancements to improve q-o-q ROI on Industry ML apps. DCML enhances existing MLOps platforms with curated data manipuation pipelines, inference workflow and analytics engineering templates. Works on Retail, SC, MFG, Mktg & Sales ML.
Our Story: Insights that led to Dakshineshwari
"AI, Gen-AI & data platforms - are no simply models or data - but must be thought of as e2e systems."
"Business directions and growth in many firms are held hostage to poor choices in architecture, tools, tech - often, with no simple way out."
"Complex AI products & solutions very often imply dealing with the underlying math & algorithmic complexities"
"Gen-AI will downturn and transform itself - so, firms will need people who can help them with this shift."
"If a firm's data is dumb or not semantically rich, AI progresswill be slow. Data Intelligence decides AI success."
"Data Engineering for agile reporting vs that for LLMs, RL and Compound AI are very different. Firms will need to scale this ladder"
"Today's AI decision makers who do not care to understand the code, will fail in their strategies."
"Do not jump into AI solutions, incl industry solutions, without the right product design, architecture and product mgmt. capabilities."