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Custom AI Solutions Engineered Around Your Business

For the AI use cases that don't fit a named platform: enterprise knowledge assistants and copilots, document AI and intelligent extraction, agentic workflow automation, and bespoke computer vision for problems beyond defect inspection — engineered around your data, workflows, and existing systems in regulated, operationally complex environments.

Ombrulla custom AI solutions for enterprise operations - showing GenAI LLM applications, computer vision quality inspection, predictive analytics dashboards, and RAG knowledge assistants integrated with ERP, MES, and CRM systems

Why 80% of Off-the-Shelf AI Fails in Complex Operations

  • Most AI solutions aren’t built for the realities of your business. They overlook specialised workflows, fragmented data, legacy systems, and strict governance requirements-resulting in impressive demos that fail to deliver dependable outcomes at scale.
  • -Generic outputs that erode trust: One-size-fits-all models miss your industry context, business rules, and operational exceptions, leaving teams to verify and correct every result.
  • -Disconnected systems that create more work: Standalone AI tools fail to integrate with existing platforms and workflows, leading to manual handoffs, data silos, and low adoption.
  • -Pilots that never reach production: When security, compliance, explainability, and scalability are treated as afterthoughts, promising AI initiatives stall before generating measurable value.
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We don’t believe in one-size-fits-all AI.

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Custom AI Solutions That Ombrulla Delivers

  • Ombrulla builds custom AI around the way your business works-not the other way around. Every solution is designed to fit your workflows, meet enterprise standards for security, governance, and scale, and deliver outcomes you can measure.
Generative AI solutions designed for enterprise workflows.

Generative AI

Build secure generative AI copilots and content workflows grounded in enterprise data, policies, permissions, and governance standards.

Enterprise knowledge systems and governed AI search.

Knowledge Systems

Transform fragmented enterprise data into a governed, searchable knowledge system that delivers reliable, context-aware answers.

Document intelligence for extraction and classification.

Document Intelligence

Automate document processing using OCR and NLP to extract, classify, validate, and route information with traceable accuracy.

Supervised AI agents for complex multi-step work.

AI Agents

Deploy supervised AI agents that coordinate enterprise systems, tools, data, and people to complete complex, multi-step workflows.

Custom computer vision for safety, compliance, and process analysis.

Custom Computer Vision

Develop custom computer vision models for PPE compliance, workplace safety, restricted-zone monitoring, people counting, and specialized process analysis. For manufacturing defect detection, explore TRITVA AI Vision Inspection.

Predictive analytics for demand and operational risk forecasting.

Predictive Analytics

Build predictive analytics solutions for demand forecasting, customer churn, capacity planning, and operational risk. For equipment failure prediction and predictive maintenance, explore PETRAN Asset Performance Management.

Custom AI model development and fine-tuning.

Custom AI Models

Design, fine-tune, and deploy domain-specific AI and machine learning models for specialized use cases without a suitable off-the-shelf solution.

Enterprise AI platform infrastructure and governance.

Enterprise AI Platforms

Create secure, scalable enterprise AI platforms that unify data, models, applications, governance, cybersecurity, and performance monitoring.

Business Benefits

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Reclaim Productive Hours

Automate repetitive manual workflows to eliminate administrative drag and free your team for high-value strategic execution.

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Guarantee First-Time Accuracy

Standardise critical processes with intelligent guardrails that cut costly rework, compliance risks, and human error.

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Accelerate Time-to-Value

Compress end-to-end delivery timelines to ship faster, meet demand on schedule, and outpace market competitors.

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Mitigate Risk Proactively

Surface bottlenecks and operational deviations in real time to resolve issues before they escalate into expensive disruptions.

Custom AI in Action

  • Explore how purpose-built models, agentic workflows, and knowledge assistants solve mission-critical operational challenges across heavy industry, infrastructure, and enterprise workflows.
Field Engineering Copilot for Oil and Gas

Oil & Gas

Maintenance manuals, safety procedures, and incident reports lived across shared drives, email threads, and paper binders — findable only by whoever had been there longest. A permission-aware knowledge assistant now answers field engineers' questions directly from that same body of knowledge, citing the source document, without exposing anything a role isn't cleared to see.
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Warranty Claims Automation for Automotive

Automotive

Warranty claims arrived as scanned dealer forms, inconsistent PDFs, and free-text technician notes. A document AI pipeline now extracts claim details, validates them against production and parts records, and routes exceptions to a human reviewer — cutting manual triage time without changing the dealer-facing process.
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Multi-System RFI Resolution for Infrastructure and Construction

Infrastructure & Construction

RFIs, BIM models, drawings, and schedule updates lived in separate systems, and one missed detail became a week of rework. A supervised agent now drafts RFI responses by cross-referencing BIM and drawing repositories, routes them to the right stakeholder, and tracks resolution status end-to-end.
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PPE and Restricted-Zone Compliance for Manufacturing

Manufacturing

The plant needed to confirm hard hats, high-vis vests, and zone restrictions were being respected on the floor — a safety and compliance question, not a product-quality one. A purpose-built vision model now monitors camera feeds for PPE and zone compliance in real time, flagging violations to safety officers, entirely separate from the defect-inspection system already running on the same line.
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Custom AI Implementation Process

  • How Ombrulla engineers and deploys purpose-built custom AI from initial opportunity mapping to continuous production scaling.

Discover: Define the Opportunity, Align on Success

We start by understanding the target use case, the current workflow, and the business outcome the solution must deliver. Stakeholders across the process - from operators to executive sponsors - help map how work happens today, so the entire team agrees on what success looks like before a single line of code is written.

  • -Success Criteria & KPI Baseline - Documented, measurable outcomes (time saved, error reduction, forecast accuracy) benchmarked against current performance.
  • -Workflow & Stakeholder Map - A clear map of the process, decision points, users, and systems involved, validated with the teams who own the work.
  • -Solution Scope & Roadmap - A defined use-case boundary, technical approach, and phased roadmap from pilot through to enterprise rollout.
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Off-the-Shelf AI vs Custom AI Solutions

Off-the-Shelf AI vs Custom AI Solutions
Off-the-Shelf AICustom AI, built by Ombrulla
It's learned from the public internet - not your plant, your process, or your terminology.We train it on what you actually run: your maintenance records, your engineering documents, your operational data. It speaks your language from day one.
It has no idea what's sitting inside your ERP, your CMMS, or your document library - because it was never given access.We connect it directly to those systems, with access rules that respect exactly who's allowed to see what.
Every answer lands in yet another dashboard or chat window your team has to remember to open.Results show up where the work already happens - a work order in your CMMS, an alert in SCADA, a record in MES.
One governance model, applied to everyone, whether or not it matches your compliance rules.Role-based access, full audit trails, and data residency built around your rules - UK, EU, US, or India.
Built for the average case. Your edge cases are what break it - usually after it's already live.We design around your process, edge cases included, so they're handled before go-live, not discovered by your users afterward.
The vendor owns the model. You feed it your data and get none of the learning back.You own the data and the model. Every outcome your team logs - a confirmed fault, a corrected reading - makes it more accurate over time.
Cost climbs with every seat and every query, so budgeting at scale becomes guesswork.One predictable cost for enterprise deployment. No surprise per-seat fees stacked on top of systems you already pay for.
Prove It in Your Workflow Before You Scale It
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Why Choose Ombrulla for Custom AI Solutions

  • Enterprises typically choose Ombrulla when they need AI that fits their workflow precisely and runs inside real enterprise systems - ERP, MES, CRM, EAM, and internal platforms. We engineer for reliability, access control, and measurable ROI rather than for one-off model demonstrations.

Value Before Technology

Every project begins with a clear business case, measurable KPIs, and an agreed definition of success-not AI for its own sake.

Designed for Adoption

Solutions fit the workflows and systems your teams already use, making adoption easier and business impact faster.

Lower Delivery Risk

A stage-gated process proves value, usability, and governance before you commit to a full-scale deployment.

Ownership Without Lock-In

You retain control of your data, models, and roadmap, with costs structured for predictable enterprise growth.

Production by Design

Scalable architecture, automated testing, monitoring, and MLOps are built in from the start-not added after the pilot.

Security Built In

Role-based access, encryption, audit trails, data residency, and human oversight are designed into every layer.

Built to Integrate

Secure APIs and data pipelines connect AI with your ERP, CMMS, MES, SCADA, document repositories, and existing technology stack.

Measured and Monitored

Clear evaluation benchmarks, live performance monitoring, drift detection, and feedback loops keep the AI reliable over time.

Frequently Asked Questions

What are custom AI solutions?

Custom AI solutions are artificial intelligence systems designed around a company’s specific data, workflows, business challenges, and goals. They can include machine learning, computer vision, generative AI, AI agents, predictive analytics, and intelligent automation.

How is Custom AI Solutions different from Tritva or Petran?

Tritva and Petran are Ombrulla's productised platforms for two specific, high-volume use cases: AI visual inspection for defect detection, and predictive maintenance for equipment health. If your need matches one of those exactly, start there — they're faster to deploy and proven at scale. Custom AI Solutions exists for everything outside that scope: knowledge assistants and copilots, document AI, agentic workflow automation, and bespoke computer vision or forecasting for problems that aren't product defect detection or equipment failure prediction.

How are custom AI solutions different from off-the-shelf AI?

Off-the-shelf AI provides standardized capabilities for broad use cases, while custom AI is developed around specific business processes, data, integrations, and performance requirements. Custom solutions are generally better suited to specialized or complex enterprise workflows.

How much does it cost to develop a custom AI solution?

Custom AI development costs vary based on project complexity, data requirements, model type, integrations, deployment environment, security, and scalability. A proof of concept typically costs less than a production-grade enterprise AI platform with multiple integrations and ongoing monitoring.

How long does it take to build a custom AI solution?

Development time depends on data readiness, use-case complexity, integrations, testing, and deployment requirements. A focused proof of concept may take several weeks, while a production-ready enterprise solution can require several months.

Does my business need a custom AI solution?

Custom AI makes sense when existing software cannot adequately address a specific, high-value business problem. Businesses should first identify measurable opportunities such as reducing downtime, automating repetitive processes, improving quality, detecting anomalies, or supporting faster decisions.

What types of custom AI solutions can businesses build?

Businesses can develop AI agents, predictive analytics systems, computer vision applications, intelligent automation, NLP solutions, RAG-based knowledge assistants, recommendation systems, and custom generative AI applications. The right approach depends on the business problem and available data.

Can custom AI integrate with existing business systems?

Yes. Custom AI can be integrated with existing ERP, CRM, databases, APIs, cloud platforms, operational software, and other enterprise systems. Integration allows AI insights and automated actions to become part of existing workflows rather than operating as a separate tool.

What data is needed to build a custom AI solution?

The required data depends on the use case and AI technique. Organizations may use historical operational data, images, videos, documents, sensor readings, transaction records, or domain-specific datasets, with data quality and relevance often being more important than simply having large volumes.

How secure are custom AI solutions for enterprise data?

Security depends on the solution architecture and deployment model. Enterprise AI can incorporate data isolation, access controls, encryption, private cloud or on-premise deployment, governance policies, and monitoring to protect sensitive business information.

How do you measure ROI from a custom AI solution?

AI ROI should be connected to measurable business outcomes such as reduced operating costs, lower downtime, increased productivity, fewer defects, faster processing, improved accuracy, or higher revenue. Establishing baseline KPIs before implementation makes the impact easier to quantify.

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Custom AI Engineered Around Your Data, Security, and Governance Boundaries.

Deployable on-prem, in your private cloud, or at the edge with full permission and lineage control.

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