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CUSTOM AI SYSTEMS FOR EVERY INDUSTRY

Purpose-Built AI.Delivered at Speed.

Custom AI systems and intelligent agents engineered around your workflows — with security, permissions and data control designed from the beginning.

Discuss Your AI Project Explore What We Build

YOUR INDUSTRY. YOUR DATA. YOUR AI.

  • Custom AI
  • AI Agents
  • Automation
  • Product Engineering
Your systems → ANJEYRA AI Core → your agents

Your ERP, CRM, documents, database, email and custom APIs connect to the ANJEYRA AI Core, which runs sales, support and operations agents.

01 / The problem

Your business doesn't need another generic AI tool.

Generic AI understands the internet. Your AI should understand your company.

Generic AI

  • Same interface
  • Same workflow
  • Generic context

ANJEYRA

  • Your workflows
  • Your data
  • Your systems
  • Your permissions
  • Your deployment requirements

02 / The difference

AI that adapts to your business. Not the other way around.

  1. 01

    Purpose-Built

    The system is designed around your workflow, your users, your data and your constraints.

  2. 02

    Data-Control Aware

    Architecture is selected around your security, access and deployment requirements.

  3. 03

    Model Independent

    Models and tools are chosen for the job, not locked in by a vendor relationship.

  4. 04

    Built for Production

    Monitoring, permissions, evaluation and failure modes are part of the build, not an afterthought.

03 / Capabilities

What we build

Custom AI Systems

Purpose-built AI that works with your own workflows and knowledge.

  • RAG
  • Knowledge assistants
  • Document intelligence
  • Decision support
  • AI search

AI Agents

Agents that reason over a defined workflow and use approved tools to take action. Human approval stays in high-risk and financially sensitive flows.

  • Sales
  • Support
  • Operations
  • Research
  • Internal workflows

Automation

Connect the systems you already pay for and remove repeated work.

  • CRM / ERP
  • WhatsApp
  • Email
  • Documents
  • Reporting
  • Logistics
  • Payments

Product Engineering

The complete software product around the AI, not just the prototype.

  • Mobile
  • Web
  • SaaS
  • Backend
  • Cloud
  • Data platforms

04 / Industries

One AI doesn't fit every industry.

  1. 01Procurement
  2. 02Inventory
  3. 03Production
  4. 04Quality
  5. 05Approval
  6. 06Reporting

05 / Speed

Speed is not a feature.It's how we build.

Prototype quickly. Validate early. Engineer production carefully.

  1. 01Problem
  2. 02Prototype
  3. 03Validation
  4. 04Integration
  5. 05Production
  6. 06Improvement

06 / Approach

Our approach

  1. 01 / DISCOVER

    Understand the business, users, current systems, bottlenecks and desired outcome.

    You bring
    Time with the people who run the process, and how it works today.
    You get
    A map of the current workflow, its bottlenecks and the outcome worth measuring.

  2. 02 / ARCHITECT

    Define workflows, data, integrations, permissions, model and tool choices, failure modes and deployment approach.

    You bring
    The systems in use, data access and your security requirements.
    You get
    An architecture covering workflows, integrations, permissions, model and tool choices and deployment.

  3. 03 / PROTOTYPE

    Validate the highest-value workflow quickly.

    You bring
    Sample data and feedback from the people who will use it.
    You get
    A working version of the highest-value workflow.

  4. 04 / INTEGRATE

    Connect real systems and production data paths.

    You bring
    Access to the real systems and production data paths.
    You get
    The workflow connected to your systems and data.

  5. 05 / DEPLOY

    Release safely with monitoring, permissions and rollback plans.

    You bring
    Approval of the release and its acceptance criteria.
    You get
    A monitored production release with permissions and a rollback plan.

  6. 06 / IMPROVE

    Measure quality, cost and business outcome, then refine continuously.

    You bring
    Usage and feedback from your team.
    You get
    Measured quality, cost and outcome, and the next refinements.

07 / Security and data control

Your intelligence.Your data.Your control.

The right architecture depends on your requirements. We discuss deployment, permission boundaries and audit before we build, not after.

Every request passes through permission and audit
  1. IdentityWho is asking
  2. Permission LayerWhat they may do
  3. ANJEYRA AgentReasons over the workflow
  4. Approved ToolsLeast-privilege actions
  5. Audit LogEvery action recorded

What we design for

  • Authentication
  • Authorization
  • Least-privilege tool access
  • Audit logs
  • Secret management
  • Data boundaries
  • Human approval for high-risk actions
  • Monitoring and evaluations

Deployment

  • Managed cloud
  • Private cloud / VPC
  • Customer-owned cloud
  • Hybrid
  • On-premises where technically justified

Deployment options are selected per project, not offered as a default menu.

08 / Work

Work

Commerce / D2C

A multi-vertical social-commerce marketplace needed buyers, sellers and operators on one platform.

Buyer app, seller panel and admin panel built and running in soft launch with early users.

Read case study
Constraints
A small team, India-first payments including COD, and sellers uploading large catalogues across dozens of beauty subcategories.
What was built
A mobile buyer app with social-commerce discovery, a seller panel for catalogue, orders, inventory and payouts, and an admin panel for categories, seller approval, moderation and disputes. Bulk catalogue onboarding runs on validated templates per subcategory; payments, seller payouts and courier shipping are integrated.
  • Flutter
  • Next.js
  • TypeScript
  • Node.js
  • MongoDB
  • AWS
  • Payment gateway
  • Courier APIs

09 / Founder-led

Idea → architecture → shipped product → running system.

Dharmik Joshi

Founder, ANJEYRA Technologies

ANJEYRA is founder-led. Architecture, key technical decisions and delivery quality stay directly accountable.

Talk directly about your project

Experience across

  • Flutter / mobile
  • Web applications
  • Node.js backend
  • MongoDB / Redis
  • AWS / cloud
  • Docker / Linux
  • Logistics systems
  • Payments / COD
  • Security and incident response
  • Architecture and product specification
  • AI-assisted engineering

What would you automate if your software could think?

Tell us the workflow slowing your business down. We'll help determine whether AI should be part of the solution.

Discuss Your AI Project

10 / Contact

Discuss your AI project

Tell us what you want to build or automate. It comes straight to the founder.

Prefer email? Write to dharmik@anjeyra.com.