Diagnose
AI-ACCELERATED
Let’s talk
Ready to turn Industrial AI into measurable value?
Tell us about your situation. We’ll show you how and where AI can be applied and what financial impact you can realistically expect.
Kriyanta builds and deploys AI applications and agents across industrial operations to accelerate execution and deliver measurable financial impact.
AI-ACCELERATED
AGENTIC AI WORKFLOWS
AI AGENTS THAT FLAG DRIFT AND RECALIBRATE
Kriyanta encodes industrial transformation logic into governed, agentic AI applications. They use your enterprise data, address the operational levers that create financial value and measure results in EBITDA and cash.
Proprietary industrial value graph, economic models and transformation logic built from delivered industrial transformations. Our agents combine advanced model capabilities with industrial context and proprietary decision logic.
Sales, Engineering, Procurement, Manufacturing, Finance and Organisation run on different economics. Kriyanta encodes those decision logics into applications across the value chain.
The transformation logic sits above the technology stack. It runs on your systems of record, enterprise tools and approved AI models. This logic remains portable across models and platforms.
Human approval gates, auditable actions and continuous impact monitoring. Commercials anchored to a validated business case.
Choose from our growing portfolio of industrial AI applications or commission one built around your specific transformation challenge.
Kriyanta starts with one CEO question: where does the organisation lose time, margin, revenue or cash, and which intervention would create the greatest value?
Not every opportunity becomes AI. The sequence is deliberate: eliminate unnecessary work, simplify what remains, automate what is deterministic, then apply AI where reasoning creates value. The result: a quantified, business-owned roadmap.
The AI Value Diagnostic translates the CEO question into practical decision criteria. It separates where AI creates leverage, where the operating model must change, and what should enter the AI roadmap first. Explore more
Processes where throughput can increase, manual effort can fall, cycle time can shorten, or growth can be absorbed without proportional headcount.
Opportunities that move revenue, EBITDA, cash, working capital, material cost, service revenue or margin leakage.
Areas where the bottleneck is governance, decision rights, process discipline or leadership follow-through rather than automation.
Feasible use cases with clear data access, workflow ownership, human approval gates and measurable financial impact.
Kriyanta production applications run within a client-controlled environment. Client systems remain in place and are accessed only through governed connectors.
Only task-relevant information is sent through approved AI model routes. Connectors are read-only by default; every write-back follows an explicit execution policy. Processing region, retention and exit terms are agreed for each deployment before go-live. Where Kriyanta operates the environment, access is named, logged and revocable by the client. Explore more
Kriyanta is built for industrial leadership teams where margin, cash, capacity and complexity determine enterprise value.
For CEOs, CFOs, COOs, transformation leaders, and business-unit heads facing cost pressure, cash constraints, margin erosion, growth complexity, or performance drift.
For portfolio companies and deal teams seeking faster diligence on value creation opportunities and a practical plan to improve EBITDA, cash and valuation multiples.
For industrial companies that must change performance materially while managing trust, discretion, supplier relationships, works councils, and long-term operating realities.
Explore our reusable AI application library across the industrial value chain. Each application is configured to the client’s data, validated by operators and connected to measurable financial impacts.
Filter by function or by impact. Demonstrated on reference datasets. Client deployments run on the client’s own data. Explore more
Installed-base opportunity mapping and service renewal or cross-sell prioritisation.
Live quote guidance that protects cost and margin, without slowing sales cycle down.
Separates justified engineering from accumulated specification complexity.
Identifies which activities belong inside your factory and which should be outsourced.
AI sourcing and RFQ execution for industrial spend.
AI-powered maintenance that resolves faults faster, improves machine availability and reduces capital tied up in spare parts.
Reconstructs every step and every loss in the manufacturing value stream.
Turns SAP safety-stock data into a governed cash-release workflow.
Rapid analysis of receivables, payables and inventory, supported by agents that sustain the gains.
Automate administrative HR workflows across recruitment, onboarding and employee services.
Installed-base opportunity mapping and service renewal or cross-sell prioritisation.
Live quote guidance that protects cost and margin, without slowing sales cycle down.
Separates justified engineering from accumulated specification complexity.
Identifies which activities belong inside your factory and which should be outsourced.
AI sourcing and RFQ execution for industrial spend.
AI-powered maintenance that resolves faults faster, improves machine availability and reduces capital tied up in spare parts.
Reconstructs every step and every loss in the manufacturing value stream.
Automate administrative HR workflows across recruitment, onboarding and employee services.
Turns SAP safety-stock data into a governed cash-release workflow.
Rapid analysis of receivables, payables and inventory, supported by agents that sustain the gains.
AI-powered maintenance that resolves faults faster, improves machine availability and reduces capital tied up in spare parts.
Reconstructs every step and every loss in the manufacturing value stream.
Installed-base opportunity mapping and service renewal or cross-sell prioritisation.
These demos show how an operational signal becomes a validated action. AI enriches the information, people approve the action and your systems execute it.
The diagram is the straightforward part. What makes these work in production is the decision logic inside each step. It determines which deviations matter, when exceptions require human review and how incorrect data is handled.
Each one runs today. What changes by client is the approval logic, the systems and the thresholds. The underlying decision logic is reusable.
Six cooperative agents resolve installed base, engineering, ERP, and data gaps before the quote manager touches the case.
Detect non-compliant supplier payments before they leave SAP, route exceptions to a human owner, and trigger the block / alert action with an auditable trail.
Turn a confirmed customer meeting into a structured account brief. It brings CRM information, installed assets, quotations and service signals into a single AI-enriched account view.
From document intake and HR-led selection to interview coordination, feedback administration and offer preparation. Agents handle administration while people make personnel decisions.
Any system. Any source.
Your operational reality in one model.
Reusable logic for your value levers.
From insight to action, in the flow of work.
Tangible impact on the P&L.
The Kriyanta deployment standard for moving agentic AI from promising pilots into governed industrial workflows while preserving data control, operator judgement and financial accountability.
What we learned building AI applications across the industrial value chain and why financial value depends on embedding AI into real operating decisions.
Our mission is straightforward: to deliver faster and deeper financial value creation for industrial businesses. Kriyanta deploys a dedicated team of 25+ highly qualified AI and engineering professionals to build and implement AI applications across Europe and the Americas, compressing time, sharpening decisions, and turning operational signals into outcomes that show up in the P&L.
Kiran builds AI applications for the highest-value operational decisions in industrial businesses, including manufacturing, procurement, engineering, finance and operations.
At Kriyanta, he designs and builds the applications and operational agents themselves: diagnosing financial opportunities faster, triggering actions inside workflows, and holding gains after the transformation team has left.
He has led large-scale EBITDA, cash and growth transformations across industrial and energy businesses. He has been a Plant Manager and a Chief Transformation Officer, across global automotive OEMs, industrial corporates and top-tier consulting. That execution experience shapes every application Kriyanta builds.
His transformation work has been featured in the Frankfurter Allgemeine Zeitung.
Based in Munich, Kiran holds a doctorate in Business Informatics and a degree in Mechanical Engineering from Delft University of Technology.
Roswitha is a senior transformation and performance improvement operator who supports businesses in complex, high-pressure situations where pace, credibility and execution discipline matter.
A former Managing Director in the Performance Improvement practice of a leading global transformation firm, she has worked with executive teams and investors across industrial and capital-intensive sectors to deliver operational, cost, EBITDA and cash improvements.
Roswitha brings a strong process perspective and a keen interest in applying AI to process optimization for immediate financial impact. At Kriyanta, she helps clients identify where AI applications can remove operational friction, accelerate decisions and convert transformation opportunities into measurable results.
Jürgen is an experienced industrial operator who turns transformation ambition into measurable EBITDA and cash impact through clear governance, financial discipline and rigorous execution.
A former Executive Board member and Chief Financial Officer across global automotive OEMs and industrial corporates, he led the turnaround and transformation of a €5 billion industrial company. He brings deep expertise in performance management, shared services and IT transformations.
At Kriyanta, Jürgen helps clients translate insights into financially grounded AI execution programs. He identifies the right applications, embeds them into management processes and ensures that their effect on EBITDA, cash and operational performance is measurable.
Preetam advises Kriyanta on enterprise delivery and implementation. He ensures that AI applications and workflows can be adopted in complex client environments.
He brings 20+ years across enterprise software delivery, SaaS, and large-scale transformation execution. His experience spans customer success, operational excellence and professional services in industrial software and technology businesses.
At Kriyanta, Preetam helps shape practical delivery models, governance routines, and adoption mechanisms that connect AI capability with measurable operational impact.
Based in San Francisco, Preetam studied Computer Science and Engineering at the University of Pune.
Preeti advises Kriyanta on AI product strategy and application design, helping translate industrial transformation logic into scalable, execution-ready AI applications.
She brings 15+ years in AI/ML product strategy, workflow automation and enterprise SaaS. As Director of Product Management, she has helped turn complex operational workflows into digital products.
At Kriyanta, Preeti advises on product architecture, workflow design and human-approval logic, helping ensure applications are scalable, governed and focused on measurable business impact.
Based in Austin, Preeti studied Computer Science at the University of Pune.
Showing Dr. Kiran Mahajan, 1 of 5.
Industrial businesses hold vast reserves of knowledge, operational experience and untapped value.
Too often, realising that value takes too long. Sometimes the opportunity remains untapped.
Kriyanta was founded on a simple belief: transformation can happen faster, with far fewer resources, through the focused application of AI.
We want to change how industrial companies realise value and how quickly they achieve it.
We build AI applications that make a measurable difference to the P&L through cost, cash, capacity and growth.
We built the missing execution layer: AI that hands back a decision someone can act on the same day. We turn industrial signals into decisions people can act on the same day.
Human judgement remains in control. Consequential actions require explicit approval, with execution policies defined by the client.
We envision an AI-powered Continuous Transformation Platform that continuously interprets operational signals across every function, learns the context behind decisions, identifies their EBITDA and cash implications, and drives practical actions through to verified financial results.
Join us in shaping what comes next. Selected enterprises receive early access to Kriyanta AI technology, a direct voice in what we build, and preferential long-term partner terms.
Become a Design PartnerTell us about your situation. We’ll show you how and where AI can be applied and what financial impact you can realistically expect.