Custom AI Development Services powered by C++ / SQL / PHP / Python

I provide custom artificial intelligence development for businesses, professional services firms, legal practices, medical organizations, notary companies, cybersecurity teams, and organizations that want to integrate OpenAI and Large Language Models into real business systems.

Our focus is not limited to simple chatbots. We develop complete AI-powered applications that can analyze documents, interact with databases, call APIs, automate business processes, generate reports, process customer requests, search internal knowledge, review technical information, and perform multi-step workflows.

Custom AI development projects start at $3,000.

Development technologies include C++, PHP, SQL, MySQL, PostgreSQL, JavaScript, Linux, REST APIs, OpenAI API integrations, AI agents, document processing systems, automation platforms, and custom backend development.

AI Systems, Not Just Chatbots

Artificial intelligence can do much more than answer questions in a chat window. A properly designed AI application can receive information, analyze it, search databases, review documents, call external services, create reports, update records, route customer requests, perform repetitive administrative work, and assist employees with complex workflows.

The goal of custom AI development is to integrate artificial intelligence directly into the systems your organization already uses.

Instead of forcing employees to copy and paste information into a public AI interface, a custom application can connect the AI directly to your website, database, customer portal, administrative dashboard, telephone system, document repository, or internal software.

AI Agent Development

AI agents are applications that can perform tasks rather than simply generate text. An agent can receive an objective, determine what information it needs, retrieve information from approved sources, call software tools, process results, and continue through several steps until a workflow is completed.

For example, an AI agent could receive a customer request, identify the type of service being requested, retrieve the customer's account information, review an uploaded document, determine what information is missing, create a task for an employee, update the database, and generate a response for the customer.

Custom AI agents can be developed for:

• Administrative work
• Customer service
• Document review
• Legal case management
• Medical record analysis
• Research
• Cybersecurity analysis
• Database operations
• Business intake
• Reporting
• Scheduling workflows
• Internal knowledge systems
• Compliance support
• Document processing
• Back-office automation

Multi-Agent Systems

Some projects may require several specialized AI agents working together. One agent may classify an incoming request, another may review documents, another may search a database, and another may generate a final report.

This type of architecture can be useful when a workflow contains several separate stages with different permissions, business rules, AI models, tools, or validation requirements.

Document Analysis and Document Intelligence

Many businesses have valuable information locked inside PDFs, Microsoft Word documents, reports, contracts, medical records, legal files, correspondence, forms, manuals, and scanned records.

Custom AI systems can analyze those documents and turn unstructured information into organized, searchable, and useful data.

Document analysis systems can be designed to:

• Summarize documents
• Extract names, dates, addresses, and reference numbers
• Identify important clauses
• Extract treatment information
• Identify medical providers
• Build timelines
• Compare multiple documents
• Classify documents by type
• Extract structured database fields
• Identify missing information
• Generate reports
• Answer questions about uploaded documents
• Search large document collections
• Identify inconsistencies
• Organize documents automatically

Document Summarization

AI can review lengthy documents and create concise summaries that identify important facts, dates, parties, events, issues, and conclusions.

Structured Data Extraction

Information contained inside documents can be converted into structured database fields. For example, a system could automatically identify a person's name, address, document date, reference number, transaction amount, provider name, treatment date, diagnosis, or contract term.

Document Comparison

AI can compare multiple versions of a document and identify differences between contracts, reports, agreements, policies, medical records, or other files.

Document Classification

Incoming documents can automatically be categorized by type, department, client, matter, service, date, urgency, or other custom business rules.

RAG and Private Knowledge Systems

Retrieval-Augmented Generation, often called RAG, allows an AI system to answer questions using information from your own documents and databases.

Instead of relying entirely on the general knowledge of the language model, the application retrieves relevant information from approved internal sources before generating an answer.

A private AI knowledge system can be connected to:

• Company policies
• Employee manuals
• Contracts
• Legal files
• Medical research
• Technical documentation
• Product manuals
• Internal procedures
• Customer records
• Case files
• Research collections
• Support documentation
• Business records
• Database information

Employees can then search company information using normal English instead of manually searching through hundreds or thousands of files.

Legal AI Development

Law firms and legal professionals work with extremely large volumes of documents, records, correspondence, medical files, pleadings, discovery materials, contracts, and case information.

Custom AI applications can help legal professionals organize and analyze information while reducing repetitive administrative work.

Possible legal AI applications include:

• Case file analysis
• Medical record review
• Case chronology generation
• Demand package preparation support
• Discovery document organization
• Deposition summaries
• Pleading summaries
• Insurance correspondence review
• Contract analysis
• Document classification
• Client intake
• Internal legal knowledge systems
• Document comparison
• Deadline extraction
• Case reporting

Case File Analysis

AI can review large case files and identify relevant facts, parties, dates, events, correspondence, medical treatment, insurance information, and procedural history.

Case Chronology Generation

Dates and events can be extracted from case files and organized into chronological timelines. This can be particularly useful for litigation, personal injury matters, medical malpractice matters, insurance disputes, and other document-heavy cases.

Contract Analysis

AI can identify contract provisions such as payment terms, deadlines, renewal provisions, termination clauses, indemnification language, obligations, restrictions, and other defined terms.

Legal Intake Automation

AI can collect information from prospective clients, identify missing information, categorize matters, generate internal intake summaries, and route inquiries to the appropriate staff member.

Legal AI systems are designed as professional support tools and should not replace attorney review, independent legal judgment, or jurisdiction-specific legal analysis.

Medical and Healthcare AI Development

Medical records can contain hundreds or thousands of pages of information from hospitals, physicians, imaging facilities, therapists, pharmacies, laboratories, and other providers.

AI systems can help authorized users organize, summarize, classify, and search medical information more efficiently.

Possible applications include:

• Medical record summaries
• Treatment timelines
• Provider identification
• Procedure extraction
• Medication extraction
• Diagnosis extraction
• Imaging report analysis
• Medical research organization
• Record classification
• Medical document search
• Treatment history generation
• Medical chronology reports

Medical Record Summaries

AI can review medical records and prepare summaries identifying treatment, diagnoses, testing, procedures, medications, complaints, referrals, providers, and significant events.

Treatment Timelines

A custom system can identify treatment dates, appointments, surgeries, imaging studies, diagnostic testing, therapy sessions, referrals, and procedures and organize them into a chronological timeline.

Medical Research Assistance

AI applications can assist authorized researchers and professionals with organizing research materials, comparing studies, searching approved medical literature collections, and summarizing large quantities of information.

Medical AI applications should be used as information-management and decision-support tools. They should not independently diagnose patients or replace licensed medical professionals.

Notary, Apostille and Document Services AI

Notary businesses, apostille companies, signing services, title companies, and document service providers frequently handle repetitive document review, customer intake, scheduling, and administrative tasks.

AI can be integrated into these workflows to help staff process requests more efficiently.

Document Readiness Analysis

An AI document analyzer can review uploaded documents and identify common conditions such as missing signatures, blank fields, incomplete venue information, missing notarial certificates, or other predefined document issues.

Customer Intake

AI can collect information about the signer, document type, requested service, identification, appointment date, destination country, apostille requirements, location, and other service details.

Apostille Workflow Support

A custom system can assist staff with organizing information related to document type, destination country, issuing authority, signing authority, notarization status, certification requirements, and internal processing steps.

Remote Notary Platforms

AI can be integrated into remote notarization portals, mobile applications, customer dashboards, scheduling systems, document upload platforms, internal administrative tools, and customer support workflows.

Automated Customer Assistance

An AI assistant can answer common questions, explain preparation requirements, collect information, help customers select services, and escalate unusual requests to staff.

Cybersecurity AI and Log Analysis

Servers, websites, applications, firewalls, databases, and authentication systems generate large amounts of technical data. Reviewing this information manually can be time-consuming.

AI can assist cybersecurity professionals and system administrators by reviewing logs, summarizing events, identifying unusual patterns, classifying alerts, and highlighting activity that deserves further investigation.

Web Server Log Analysis

AI can review Apache, Nginx, reverse proxy, CDN, and application access logs and identify unusual requests, repeated failures, suspicious scanning patterns, abnormal traffic, and potentially malicious activity.

Authentication Analysis

Authentication logs can be analyzed for repeated login failures, unusual account activity, suspicious access patterns, abnormal locations, and other events requiring review.

Application Error Analysis

AI can analyze PHP errors, application logs, stack traces, API failures, database errors, system warnings, and other operational problems and provide readable summaries for developers and administrators.

SQL and Database Log Analysis

Database logs can be reviewed for unusual queries, repeated failures, application-generated SQL problems, suspicious errors, and unexpected database behavior.

Security Alert Triage

AI can categorize alerts, identify related events, summarize incidents, assign preliminary severity classifications, and route events for human investigation.

Incident Reporting

Large collections of raw security events can be converted into readable incident summaries, timelines, findings, and technical reports.

AI should complement, not replace, firewalls, endpoint security, authentication controls, intrusion detection, logging, access controls, and professional incident response.

Business Process Automation

Many business processes involve employees repeatedly reading emails, reviewing documents, copying information into databases, creating reports, categorizing requests, and sending routine responses.

Custom AI automation can reduce repetitive work by allowing software to perform preliminary processing automatically.

Automation may include:

• Email classification
• Customer intake processing
• Lead qualification
• Document processing
• Automatic database updates
• Report generation
• Task routing
• Internal notifications
• Information extraction
• Form processing
• Customer support triage
• CRM updates
• Administrative workflows
• Document generation
• Quality-control checks

Custom AI Chatbots and Customer Assistants

We develop AI assistants that can be integrated directly into websites, customer portals, internal applications, administrative systems, and mobile applications.

A custom AI assistant can do more than provide generic responses. It can search approved business information, retrieve database records, call APIs, collect structured information, create service requests, explain company procedures, and transfer complex matters to human employees.

Custom chatbot systems can include:

• Company-specific instructions
• Database access
• Customer authentication
• Document search
• API access
• Customer intake
• Service routing
• Conversation logging
• Human escalation
• Administrative controls
• Content restrictions
• Permission controls

Voice AI and Telephone Automation

Artificial intelligence can be integrated with telephone and VoIP systems using speech-to-text, text-to-speech, Large Language Models, SIP infrastructure, and custom backend applications.

Voice AI applications can receive calls, collect information, answer approved questions, generate transcripts, create service requests, retrieve customer information, schedule appointments, route callers, and transfer calls to employees.

Custom integrations can also be developed for platforms such as Asterisk and FreePBX.

Possible voice AI projects include:

• AI receptionist systems
• Automated customer information lines
• Call transcription
• Voice-based intake
• Appointment workflows
• Customer service automation
• Internal telephone assistants
• Voice-based database lookup
• Call routing
• Custom VoIP automation

AI Search and Natural Language Database Interfaces

Traditional database applications often require users to know exact keywords, filters, field names, or report structures.

AI can provide a natural-language interface where authorized employees ask questions in normal English and the application converts those requests into approved database searches.

For example, an employee could ask:

• Show all customers who opened a matter this month.
• Find all documents mentioning a particular treatment.
• List unresolved requests from the past seven days.
• Summarize the most common customer complaints this month.
• Find records containing a particular reference number.
• Show all cases associated with a specific provider.

Access controls can be built into the system so users only receive information they are authorized to view.

AI Reporting and Analytics

AI can transform raw business information into readable reports, summaries, findings, alerts, and management information.

Custom reporting systems can analyze:

• Database records
• Customer activity
• Documents
• Transactions
• Security logs
• Operational statistics
• Service requests
• Employee workflows
• Website activity
• Application errors

Reports can be created on demand or generated automatically according to business rules.

AI-Powered Internal Business Tools

AI does not have to exist as a separate application. It can be built directly into an existing administrative dashboard or custom business platform.

An internal business system may allow employees to:

• Upload documents
• Analyze documents
• Search records
• Generate reports
• Review AI findings
• Approve automated actions
• Manage customers
• View alerts
• Run database searches
• Communicate with customers
• Manage workflows
• Monitor system activity

API Integration

AI becomes much more powerful when it can interact with the software your organization already uses.

We can develop integrations between OpenAI or other LLM systems and:

• OpenAI API
• Custom REST APIs
• Internal business APIs
• SQL databases
• CRM platforms
• Customer portals
• Document systems
• Payment systems
• Email systems
• SMS systems
• Scheduling platforms
• VoIP systems
• Administrative dashboards
• Authentication systems
• Cloud services
• Custom internal software

Custom Software Development

Artificial intelligence is often only one part of a complete application. A production system may also require databases, user authentication, administrative interfaces, reporting systems, file uploads, business logic, API services, security controls, and workflow automation.

We can develop complete applications around the AI functionality instead of attempting to force AI into a system that was never designed to support it.

Development Technologies

• C++
• PHP
• SQL
• MySQL
• PostgreSQL
• JavaScript
• HTML
• REST APIs
• JSON
• Linux
• Custom backend services
• Database architecture

AI Technologies

• OpenAI API
• Large Language Models
• AI Agents
• Multi-Agent Systems
• Tool Calling
• Retrieval-Augmented Generation
• Embeddings
• Vector Search
• Document Processing
• Speech-to-Text
• Text-to-Speech
• Natural Language Search
• Custom API Integrations
• AI Automation

AI Security and Access Controls

AI applications should be treated as production software, especially when they handle confidential documents, legal records, medical information, customer data, financial information, or internal business systems.

Depending on the project, applications can include:

• User authentication
• Role-based permissions
• Administrative access controls
• Audit logging
• Session management
• Encrypted communications
• Protected API credentials
• Database permissions
• Rate limiting
• Input validation
• File validation
• Tool permission controls
• Prompt injection defenses
• Human approval workflows
• Data retention controls
• Security event logging

Security architecture is determined by the sensitivity of the information being processed, the number and type of users, the hosting environment, and the actions the AI system is permitted to perform.

Human-in-the-Loop AI

Not every AI decision should be fully automated.

For legal, medical, financial, cybersecurity, compliance, and other high-impact environments, the AI system can perform preliminary analysis while requiring an authorized professional to review and approve the result before further action occurs.

For example, an AI system may analyze a document and prepare a report, but an employee must review and approve the report before it is delivered to a customer or added to an official record.

This allows organizations to benefit from AI automation while keeping important decisions under human control.

Examples of Custom AI Projects

AI Document Review Portal

Users upload PDF or Word documents. The system analyzes the files, extracts important information, creates summaries, identifies relevant issues, and generates a structured report.

Legal Case Analysis Platform

Upload case files, identify parties and dates, review medical records, build treatment timelines, summarize documents, and organize case information for professional review.

Medical Record Analyzer

Review large collections of medical records and generate treatment summaries, provider lists, diagnostic timelines, procedure histories, and structured medical data.

Cybersecurity Analysis Dashboard

Process server logs, application errors, authentication activity, and security events. Identify suspicious activity, categorize alerts, summarize incidents, and generate technical reports.

AI Customer Service Agent

Answer customer questions, retrieve approved company information, collect customer information, create service requests, and escalate unusual matters to employees.

Internal Company Knowledge Assistant

Allow employees to search company policies, manuals, technical documentation, contracts, procedures, and internal records using normal English.

AI Intake and Qualification System

Collect information from prospective customers, identify missing information, classify requests, determine the appropriate department, and generate internal summaries.

Voice AI Receptionist

Answer telephone calls, collect structured information, provide approved information, create records, route calls, and transfer callers to employees.

AI Reporting Platform

Analyze business records, transactions, documents, logs, or operational information and automatically create management reports.

AI Email Processing System

Analyze incoming email, identify the subject and urgency, extract important information, categorize the message, create an internal task, and route it to the appropriate employee.

AI Database Assistant

Allow authorized employees to ask questions about company data in normal English and receive results from approved database searches.

Custom AI Administrative Dashboard

Create a complete internal platform combining customer management, document uploads, AI analysis, reporting, workflow automation, database search, security controls, and administrative functions.

Existing Software Can Be Upgraded With AI

You do not necessarily need to replace your existing software to begin using artificial intelligence.

Existing applications written in PHP, C++, JavaScript, SQL, or other technologies can often be upgraded with AI functionality.

Examples include:

• Adding an AI document analyzer to an existing customer portal
• Adding OpenAI analysis to an administrative dashboard
• Adding automated reports to an existing database
• Adding AI search to an internal application
• Adding an AI customer support assistant to a website
• Adding AI analysis to uploaded files
• Connecting existing software to an AI agent
• Adding voice AI to a telephone system
• Adding AI cybersecurity analysis to server logs

This approach allows your organization to preserve existing software, databases, business rules, and infrastructure while adding modern AI capabilities.

Why Custom AI Development?

Generic AI software is designed to serve a large number of businesses. That can be useful for simple tasks, but it often becomes restrictive when an organization has specialized workflows, custom databases, internal software, unusual security requirements, or proprietary business processes.

Custom AI development allows the system to be built around the way your organization actually operates.

Instead of changing your business to fit a generic AI product, the AI can be designed to fit your business.

Custom development is particularly valuable for businesses that require:

• Private internal data
• Custom databases
• Specialized workflows
• Industry-specific logic
• Multiple user roles
• Advanced permissions
• Document processing
• Custom APIs
• Automation
• AI agents
• Security controls
• Existing software integration

Development Process

1. Requirements Analysis

The first step is identifying the business problem, workflow, users, data sources, documents, APIs, security requirements, expected outputs, and project objectives.

2. System Architecture

We determine how the AI model, databases, APIs, authentication, document processing, automation, and existing software will work together.

3. Development

The application is developed using the appropriate combination of C++, PHP, SQL, JavaScript, APIs, AI models, databases, backend services, and user interfaces.

4. AI Workflow Development

Prompts, tools, agent instructions, retrieval systems, business rules, model behavior, and validation procedures are developed according to the application's requirements.

5. Testing

The system is tested using normal requests, invalid requests, unusual inputs, failure scenarios, permission restrictions, API errors, database errors, and unexpected AI responses.

6. Deployment

The completed application is deployed to the approved server or hosting environment and connected to required production systems.

7. Optimization

AI models, prompts, workflows, retrieval systems, API usage, database performance, and application behavior can be optimized based on actual production use.

Project Pricing

Custom OpenAI, LLM and AI development projects start at $3,000.

Final project pricing depends on the complexity of the system, number of integrations, databases, document processing requirements, user interfaces, AI workflows, security requirements, APIs, hosting environment, automation requirements, and the amount of custom software development required.

AI Integration

Starting at $3,000

Suitable for adding a focused AI capability to an existing website, application, portal, or database.

• OpenAI API integration
• Custom AI workflow
• Prompt development
• Basic database integration
• Document analysis
• AI reporting
• Existing application integration

Custom AI Application

Custom Project Quote

Suitable for organizations that need a dedicated application containing multiple business functions.

• Custom backend development
• Database architecture
• User accounts
• Administrative dashboard
• Multiple AI workflows
• Document processing
• API integrations
• Automation
• Reporting
• Custom permissions

Enterprise AI Platform

Custom Enterprise Quote

Suitable for organizations requiring advanced architecture, multiple integrations, large document collections, custom security controls, AI agents, multiple user roles, or complex automation.

• AI agent architecture
• Multi-agent systems
• Private knowledge systems
• Advanced database integration
• Multiple APIs
• Advanced security controls
• Human approval systems
• Voice AI
• Large-scale document analysis
• Custom automation
• Production monitoring

Build AI Around Your Business

Artificial intelligence becomes significantly more valuable when it is connected directly to the systems and information your organization already uses.

Whether you need an AI agent, document analysis platform, legal AI application, medical record analyzer, cybersecurity analysis system, customer service assistant, private knowledge system, notary workflow, voice AI application, automated reporting platform, or complete AI-powered business application, the system can be designed around your specific requirements.

We combine traditional software engineering with modern AI technology using C++, PHP, SQL, APIs, databases, Linux systems, OpenAI, Large Language Models, automation, document processing, and custom backend development.

Custom AI development starts at $3,000.

Request an AI Development Consultation