AI-NATIVE BUSINESS SYSTEMS & PRODUCT ENGINEERING
APPNEURAL designs and builds AI automation, focused Micro-ERPs and scalable digital products for growing businesses and technology partners.
Who are you building for?
Clear scope. Reviewable delivery. Secure handover.
Looking for a white-label engineering partner?Automate operations and replace spreadsheets, WhatsApp follow-ups and manual reporting with a focused business system.
Micro-ERP / AI workflows / AutomationExplore Micro-ERP LaunchYou do not need to buy a large transformation program on day one. Choose the smallest engagement that creates enough evidence for the next decision.
Clarify the problem, system design, delivery phases, risks and investment range.
5–10 business days · From ₹75,000 / $2,000
Scope the system 02Test one bounded AI use case against your data and operating constraints.
3–6 weeks · From ₹2.5 lakh / $6,000
Review an AI use case 03Connect one important operational journey before expanding across the business.
6–12 weeks · From ₹1.25 lakh + monthly support
Explore Micro-ERP 04Add architecture and engineering capacity to a product or client workstream.
3 months minimum for dedicated models · From ₹3.5 lakh / $5,000 per month
Discuss partnershipStarting prices. Each proposal is confirmed after scope, data, integrations and security are reviewed.
Build an app. Put AI to work. Connect your data. Choose the engineering you need, with branding, growth and team support alongside it.
Nine practices. Start with the work you need.
Engineering, brand, growth and people. Find your next step below.
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EngineeringAdd AI assistants, knowledge search and guided workflows to your business.
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EngineeringConnect your data sources and turn them into usable reports.
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EngineeringTest critical journeys and review the evidence before release.
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EngineeringTurn an idea into a designed and tested first version.
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EngineeringBuild apps, internal tools and APIs around your workflows.
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EngineeringConnect your tools and automate repetitive tasks.
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EngineeringGive your products shared APIs and developer tools.
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EngineeringSet up cloud infrastructure and repeatable deployments.
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EngineeringBuild secure login, permissions and API access.
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BrandingCreate a clear identity and consistent brand materials.
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MarketingPlan search, content and campaigns with clear measurement.
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ConsultingReview your options and define a practical next step.
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TrainingHelp your team learn skills through guided practical work.
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MentorshipGet feedback on your work and guidance on your next step.
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OutsourcingAdd specialist capacity or delegate a defined workstream.
Explore this serviceBring strategy, engineering and operations together around the outcome—not a list of technologies.
Explore all capabilitiesAI engineering, agentic systems, retrieval and evaluation, with production and governance requirements considered in project scope.
ExploreEnterprise applications, SaaS products and APIs, built with quality engineering and a handover your team can own.
ExploreShared platforms, APIs and integration layers that let systems, teams and agents work from the same foundation.
ExploreCloud foundations, DevOps and data platforms that make intelligence reliable, observable and cost-aware.
ExploreWorkflow and business automation with human review where it matters and an audit trail everywhere.
ExploreIdentity, security engineering and AI governance, with controls described as proposed, implemented or tested.
ExploreStart with the shift your business needs. We’ll connect it to the right approach.
Explore all solutionsUntil client outcomes are approved for publication, explore how we think through a representative enterprise challenge.
An illustrative knowledge workflow with reviewed sources and explicit access boundaries.
Bring industry context into the conversation—from regulation and operations to the systems already in place.
View all industriesIntelligence is more than a model. It depends on systems, trusted data, clear controls and the ability to operate at scale.
Build reliable digital foundations.
Connect enterprise information.
Support better decisions with AI.
Turn decisions into governed action.
Make security, risk and accountability visible.
Extend what works across the enterprise.
A modular platform initiative for connecting applications, workflows, data and governed AI capabilities. APPNEUROX is currently at MVP stage; scope and availability are best discussed directly.
A clear engagement model connects the business goal to a system your teams can run and evolve.
Our delivery approachUnderstand the business context, systems and objectives.
Define architecture, controls and a practical roadmap.
Build and review in clear, testable increments.
Connect the solution to the systems and data around it.
Monitor, support and improve—or hand over with context.
Adapt the system as the organization and its needs change.
An internal AI assistant can help staff find answers in policies, manuals and past proposals, but only if it respects document permissions, cites its sources and admits when it does not know. Retrieval quality matters more than the model brand.
4 min readA chatbot answers questions, an AI agent takes multi-step actions with tools and rules-based automation executes known logic reliably. Most business problems need rules first, a chatbot sometimes and an agent rarely, and only with clear permissions.
4 min readAn AI pilot should answer one question: does this use case work well enough on our data to justify production investment? That needs a defined task, accessible data, an evaluation method, a budget ceiling and a decision date.
3 min read
Architects, engineers and specialists can work from the first conversation through delivery and handover, with responsibilities agreed for each engagement.
APPNEURAL designs and builds AI systems, enterprise software, cloud platforms and business automation. Engagements connect discovery, engineering, integration and handover around an agreed scope.
Compare our services Read our evidence policyStart with AI engineering for a knowledge assistant or AI workflow, software engineering for a new application, cloud engineering for infrastructure, and data engineering for connected information. If the problem crosses systems, start with discovery to agree priorities and dependencies.
Bring the business problem, the people affected, your current systems, data constraints and the result you want to measure. A high-level description is enough to start. Access, confidentiality and detailed requirements can be agreed during discovery.
Cost and timelines depend on scope, integrations, data readiness, security requirements and the delivery model. APPNEURAL agrees deliverables, assumptions, exclusions and acceptance criteria before committing to an engagement. Contact the team for a scoped proposal.
Engagements can include existing applications, APIs, cloud infrastructure and internal engineering teams. Discovery confirms system ownership, access, integration boundaries and whether the final scope includes operation, support or handover.
AI work should define approved data sources, access controls, evaluation criteria, monitoring and human review where needed. Requirements and verification evidence are agreed for the project. The Trust Center describes the approach; it does not imply a certification or guaranteed outcome.
Describe what you’re trying to build, modernize, automate or transform. Explore relevant public APPNEURAL information before deciding whether to contact the team.
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