MINDIFY AI·AI TRANSFORMATION · SOLUTION ENGINEERING · PRIVATE AI
[ 00 ]From AI strategy to production intelligence

Turn AI ambition into production intelligence.

Mindify AI advises, builds, deploys, and operates secure AI systems for organizations with complex workflows and sensitive data—from transformation strategy and custom AI agents to private deployment with Cortex Edge.

Strategy · Engineering · Private deployment · Managed operations

CORTEX EDGE
production system
BOUNDARY
CUSTOMER CONTROLLED
WORKFLOW
AUDITABLE
APPROVAL
HUMAN IN CONTROL
cortex.edge / deploymentproduction
Cortex@approved-context
Prepare the operating review using approved company knowledge.
retrievepermission-aware knowledge
route_modelapproved model policy
Review prepared with source context, approval gates, and auditable actions.
KnowledgeConnectedready
Data boundaryCustomer-controlledready
Model policyApproved routesready
Production workflowCONTEXT -> APPROVAL -> ACTION
AI transformation strategy
Custom solution engineering
Private deployment
Model-independent architecture
Research-informed systems
Managed AI operations
[ 01 ]Why initiatives stall

AI transformation requires more than a model.

Most organizations do not have an AI problem. They have a strategy, integration, data, governance, and execution problem.

01

Too many experiments, no operating strategy

Teams adopt disconnected AI tools without a clear roadmap, success criteria, ownership model, or path to production.

02

Valuable knowledge remains fragmented

Documents, code, customer conversations, policies, meetings, and operational systems each contain part of the organization’s intelligence.

03

Generic tools cannot support specialized workflows

Off-the-shelf copilots rarely understand the company’s processes, permissions, terminology, systems, and decision context.

04

Security prevents wider adoption

Sensitive data and infrastructure requirements prevent organizations from using public AI services for important work.

05

Prototypes fail to become production systems

Production AI requires integration, evaluation, observability, governance, deployment, and ongoing maintenance.

[ 02 ]Services

Secure AI and software, built for production.

We help organizations build secure, production-ready AI systems that run on their own infrastructure or in the cloud. Our expertise spans private AI deployment, custom software engineering, and modern web development.

01private-ai

Private AI Infrastructure

Deploy enterprise-grade AI entirely within your own environment for maximum security, privacy, and performance.

  • On-premises Coding LLM Agents for software engineering teams
  • Private AI workspaces and knowledge assistants
  • Secure deployment with LAN, VPN, or hybrid cloud architectures
02llm-training

Custom LLM Training & Fine-Tuning

Develop AI models tailored to your organization, data, and workflows.

  • Domain-specific LLM fine-tuning
  • Continued pretraining and model adaptation
  • Retrieval-Augmented Generation (RAG)
  • Model optimization and inference acceleration
03ai-systems

Custom AI Systems & Integration

Transform business processes with intelligent automation and AI-native applications.

  • End-to-end AI application development
  • Enterprise system integration
  • AI workflow automation
  • API development and third-party integrations
  • Agentic AI and multi-agent systems
04web-platform

Custom Web & Platform Development

Build modern, scalable digital products for customers and internal teams.

  • Custom web applications
  • Client portals and internal dashboards
  • SaaS platform development
  • Responsive, high-performance user experiences
05ux-seo

UI/UX & SEO Optimization

Improve user experience, search visibility, and conversion performance.

  • Modern UI/UX redesign
  • Website performance optimization
  • Technical SEO implementation
  • Accessibility improvements
  • Conversion rate optimization (CRO)
[ 03 ]Solution areas

Applied AI for high-value workflows.

We start with the workflow that matters, then connect the right knowledge, models, controls, and interfaces around it.

S.01

Organizational Knowledge Intelligence

Connect documents, policies, notes, PDFs, and operational knowledge into a trusted AI system.

Internal answers · knowledge retention · onboarding
S.02

Meeting and Conversation Intelligence

Turn meetings, calls, and customer conversations into searchable transcripts, structured insights, follow-up actions, and reusable playbooks.

Documentation · follow-up · organizational learning
S.03

Engineering Intelligence

Give engineering teams contextual assistance across codebases, architecture, documentation, issues, and development workflows.

Codebase understanding · onboarding · delivery
S.04

Contextual AI Agents

Build agents that use approved company context and execute controlled workflows with human oversight.

Controlled execution · consistent processes · approvals
S.05

Private AI Deployment

Run approved models and knowledge systems inside customer-controlled infrastructure.

Data control · model flexibility · governance
[ 04 ]Mindify AI delivery platform

Cortex Edge is the foundation behind our private AI solutions.

Cortex Edge connects approved AI models with your organization’s knowledge, code, policies, systems, permissions, and workflows. It provides a reusable foundation for delivering secure AI solutions faster while keeping every deployment configurable to the customer’s environment.

cortex.edge / architectureCUSTOMER BOUNDARY
PRIVATE AI FOUNDATIONCORTEX EDGE

Configurable around your workflows, infrastructure, security requirements, and deployment model.

MODELSLocal · Open · Approvedready
KNOWLEDGEDocuments · Code · Policiesready
CONTROLPermissions · Audit · Approvalready
WORKFLOWSAgents · Interfaces · Actionsready
data_boundary: customeractivity_log: auditable
Deployment capabilitiesCORTEX_EDGE
  • Private-cloud or on-premise deployment
  • Company knowledge connections
  • Repository and document intelligence
  • Permission-aware retrieval
  • Approved model routing
  • Contextual AI agents
  • Workflow orchestration
  • Administrative controls
  • Auditable AI activity
  • Managed implementation
[ 05 ]How we work

A practical path from opportunity to production.

Each stage creates a concrete decision or working artifact, so strategy stays connected to delivery.

01

Assess

Identify valuable workflows, constraints, data sources, stakeholders, infrastructure, and success criteria.

DeliverableAI opportunity and deployment assessment
02

Design

Define the target workflow, architecture, security boundary, integrations, operating model, and implementation scope.

DeliverableSolution blueprint and commercial proposal
03

Build

Develop and integrate the models, knowledge systems, agents, interfaces, and workflow automation.

DeliverableValidated pilot or production-ready solution
04

Deploy

Deploy into the approved environment, test reliability and permissions, and onboard users.

DeliverableOperational AI system
05

Operate

Monitor, maintain, evaluate, and improve the system while expanding it into additional workflows.

DeliverableManaged AI operations and continuous improvement
[ 06 ]Why Mindify AI

Secure by design. Built for production. Tailored to your business, scalable as you grow.

We combine enterprise AI infrastructure, software engineering, and product design. Whether you need a private AI deployment, a custom AI application, or a complete digital platform, we partner with your team from strategy and implementation through long-term support.

D.01

Strategic and technical

Connect executive priorities with system architecture and engineering execution.

D.02

Productized delivery

Use Cortex Edge as a reusable foundation while adapting each deployment to the customer’s workflows and environment.

D.03

Research-informed systems

Apply work in reasoning, coding agents, hallucination mitigation, retrieval, and efficient models to production design and evaluation.

D.04

Model-independent architecture

Select models based on security, quality, speed, cost, and deployment requirements rather than relying on one provider.

D.05

Long-term operating partner

Support systems after deployment through maintenance, evaluation, optimization, and expansion.

[ 07 ]Representative solutions

Delivery patterns for real operational needs.

These are representative solution patterns—not customer case studies or performance claims.

Representative solution

Private Conversation Intelligence

A local AI system for transcribing sensitive conversations, extracting operational insights, and converting recurring patterns into searchable playbooks.

Representative solution

Private Knowledge Assistant

A permission-aware knowledge system for searching internal documents, policies, notes, and operational information.

Representative solution

Specialized AI Workflow Platform

A custom AI application combining domain-specific models, internal infrastructure, operational interfaces, and managed deployment.

[ 08 ]Open research

Research depth. Production discipline. Business focus.

Mindify AI combines applied research with production engineering. Work in structured reasoning, coding agents, hallucination mitigation, model efficiency, and private deployment informs how we evaluate models and build reliable AI workflows.

[ 09 ]Ideal customer

Built for organizations where generic AI is not enough.

01

Internal knowledge is valuable but fragmented.

02

Important workflows still rely on repetitive manual work.

03

Public AI tools cannot safely access sensitive information.

04

The organization needs specialized AI agents or applications.

05

AI experiments have struggled to reach production.

06

One partner is needed across strategy, engineering, deployment, and operations.

· AI_TRANSFORMATION_CONSULTATION·OPPORTUNITY -> PRODUCTION

Move your highest-value AI opportunity toward production.

Tell us about the workflow, data, security requirements, or AI initiative you are evaluating. We will help identify the most practical path from opportunity to deployment.

Strategy · Custom solutions · Cortex Edge · Managed AI operations