AI Middleware & RAG Systems

We integrate AI (LLMs, RAG, computer vision) into existing CRM, ERP, and business systems. Setup secure data routing, API integrations, and automation
Seven / Services / AI Development Services / AI Middleware & RAG Systems

When Do You Need It?

Customer Service & Support Department

Integration of RAG systems and AI classifiers into existing systems for automatic triage of incoming requests and auto-generation of replies and reducing request processing times

Sales & Marketing Department

Integration of AI lead scoring and personalized outreach generators into existing systems for automatic qualification of inbound contacts and generation of proposals and increasing sales conversion

Finance & Logistics Department

Integration of LLM models with various business systems, payment gateways, and document management for automatic data extraction from primary documents and reconciliation of invoices with contracts and agreements and reducing time spent on manual data entry, checking delivery notes, and approving payments

Analytics & Internal Management

Integration of Text-to-SQL tools and semantic search systems with databases, BI platforms, and cloud storages for automatic report generation, chart visualization, and search of information in documents and reducing time spent on waiting for analytics and searching for internal regulations

Structure of AI Integration in Business Systems

The implementation of AI solutions is a process of seamless integration of intelligent models into existing client workflows, which outlines the following:

Vector Databases & RAG Engine (AI Memory)

Vector embedding storages (such as pgvector, Pinecone, or Qdrant) and ETL data ingestion pipelines. They clean, chunk, and index company documents (PDFs, Notion, databases), providing the model with relevant context without retraining

Orchestration & Cognitive Logic (AI Brain)

Middleware that manages dialogue sessions, coordinates the work of multiple AI agents, handles model reasoning logic, manages prompt templates, and stores context history. It ensures State Management and deterministic fallback scenarios in case of AI failures

Integration Gateways & MCP Servers (AI Hands)

Connecting models to external tools using the Model Context Protocol (MCP) standard or custom APIs. This provides the AI with secure access to Resources (reading databases, CRMs) and Tools (ability to create invoices, update statuses in ERP), while message queues (Redis, RabbitMQ) prevent system overloading

Compute Contour & LLM Runtime

The execution environment for models - private hosting configuration of open-source models (such as Llama or Mistral on AWS/GCP cloud) or secure enterprise links to commercial models (Anthropic, OpenAI). The system supports automatic failover to a backup provider (Model Redundancy) if the primary services go down

Security Contour & Guardrails (AI Protection)

Security gateways that filter incoming requests for prompt injections, anonymize sensitive customer data (data masking), and perform final validation of model responses for hallucinations (Guardrails). Additionally, fine-grained access control of the AI to specific database tables (Data Governance) is implemented

Human-in-the-Loop Interfaces (Action Control)

Custom approval dashboards, widgets, and Slack interfaces to review and confirm AI actions by a human before execution. In case of complex or risky situations, a seamless real-time session handover mechanism to a live operator (Handover) is implemented

Key Activities and Deliverables

Data Prep & Knowledge Base Setup
  • Developing ETL pipelines for regular extraction, cleaning, chunking, and indexing of corporate documents (PDF, Notion, DB)
  • Deploying vector databases (pgvector, Qdrant, or Pinecone) and configuring the semantic search index
  • Configuring semantic request caching to optimize token expenses and accelerate model responses
  • Deliverable: Active RAG contour with connected and indexed corporate knowledge base

Discovery Workshop & Infrastructure Audit

  • Conducting knowledge transfer sessions to identify key business needs and define target AI implementation ROI metrics
  • Technical audit of the existing IT infrastructure (CRM, ERP, databases) for compatibility and availability of necessary APIs
  • Analysis and evaluation of corporate data source quality (documents, knowledge bases) for the future RAG system
  • Deliverable: System compatibility report, selected technology stack, and initial process map

Requirements & Architecture Design

  • Developing functional specifications and requirements for model response accuracy, latency limits, and data formats
  • Designing the logical interaction schema of models, the RAG contour (chunking and reranking strategies), and the middleware orchestrator
  • Modeling error handling scenarios, fallbacks, and Human-in-the-Loop approval gates
  • Deliverable: Approved Software Requirements Specification (SRS) and detailed integration architecture diagram

Data Prep & Knowledge Base Setup

  • Developing ETL pipelines for regular extraction, cleaning, chunking, and indexing of corporate documents (PDF, Notion, DB)
  • Deploying vector databases (pgvector, Qdrant, or Pinecone) and configuring the semantic search index
  • Configuring semantic request caching to optimize token expenses and accelerate model responses
  • Deliverable: Active RAG contour with connected and indexed corporate knowledge base

Security Contour & Guardrails Configuration

  • Setting up a secure proxy server and middleware gateway to encrypt and control API key usage
  • Implementing data masking mechanisms to prevent the leakage of personally identifiable information (PII) to cloud models
  • Configuring Guardrails filters to validate incoming queries for prompt injections and outgoing responses for hallucinations
  • Deliverable: Activated security contour with configured privacy filters and HIPAA/GDPR compliance settings

API Adapters, MCP & Orchestration Development

  • Writing middleware to manage conversation state (State Management) and coordinate multiple AI agents
  • Developing custom Model Context Protocol (MCP) servers to grant the AI secure access to Tools and Resources
  • Configuring message queues (Redis, RabbitMQ) to distribute compute loads and stably handle timeouts
  • Deliverable: Working orchestration programming layer integrated with client internal APIs and databases

Prompt Engineering & AI Evaluation

  • Creating, versioning, and optimizing prompt templates, system instructions, and cognitive reasoning chains (Chain-of-Thought)
  • Setting up automated evaluation pipelines (AI Evaluation) to verify prompt accuracy and response relevance
  • Calibrating model parameters (temperature, top-p) and manual testing of edge cases in AI behavior
  • Deliverable: Optimized prompt library and validated model decision-making logic

Human-in-the-Loop & UX Integration

  • Developing custom AI action approval dashboards, Slack/Teams widgets, and interfaces for manual verification of actions
  • Implementing a seamless conversation takeover mechanism (handover) to route sessions to a live operator in case of low model confidence
  • Conducting usability (UX) testing and response speed checks for human-AI interaction interfaces
  • Deliverable: Completed user approval interfaces and configured handover gateway to human operators

DevOps, CI/CD & Production Deployment

  • Configuring isolated cloud or local infrastructure environments for development, testing, and beta release
  • Writing CI/CD pipelines for automated building, testing, and secure deployment of orchestrator code and prompts
  • Configuring automatic failover to backup model providers (Model Redundancy) to ensure high system availability
  • Deliverable: Deployed infrastructure with configured Dev/Staging/Prod contours and automated CI/CD

Observability & Observability Setup

  • Integrating dashboards to monitor token usage, financial limits, generation speed, and API errors
  • Setting up real-time alerts for model provider downtime, quota exceedance, or anomalous AI behavior
  • Conducting final training for the client's team and handing over maintenance documentation
  • Deliverable: Connected 24/7 monitoring system with incident alerts and a trained support team

AI Integration Packages

Modular AI Integration
Rapid integration of ready-made AI models via cloud APIs to solve specific operational tasks (automatic classification, text extraction)
Custom AI Pipeline
Building a dedicated middleware contour with RAG system setup, custom vector databases, and response validation scenarios
Enterprise AI Ecosystem
Deep integration of private or commercial models into a secured client contour with end-to-end analytics and AI orchestration
Discovery Workshop & Infrastructure Audit
Integration Architecture Design
Model Selection & Evaluation
Data Prep & RAG Contour
Vector Database Setup
Orchestration & Cognitive Logic
Basic Linear Prompts & Standard Function Calling
Middleware Orchestrator
Reasoning Scenarios, Prompt Templates, Dialog
Multi-Agent Orchestration
Autonomous Agents With State And Memory
MCP Servers & API Gateways
Standard API Connectors
Make, Zapier Or Ready-Made Integrations
Custom API Adapters & Integration Gateways
Up To 5 Internal Systems
Development Of Custom MCP Servers & API Gateways Without Limits
Data Security & Masking
Basic
API Key Encryption, Standard Provider Filters
PII Masking, Access Control On Middleware Level, Guardrails
Deep Private Security Contour
Guardrails, real-time masking, HIPAA/GDPR
Human-in-the-Loop Interfaces
Simple Messenger Integrations
Slack/Teams Alerts With Approval Buttons
Custom Slack/Teams Approval Widgets & Basic Handover To Live Operator
Custom Approval Dashboards & Automated Seamless Handover To Operators
Queue & Load Balancing
Standard Rate Limiting Handled On Client Library Level
Asynchronous Request Queue To Prevent API Overloading
Distributed Queues (Redis/RabbitMQ) & Dynamic Worker Load Balancing
Failover & Evaluation
Manual Validation Of AI Responses On A Test Sample
Up To 50 Queries
Automated Response Validation & RAG Contour Logic Testing
Continuous CI/CD Evaluation Of Hallucinations & Automated Model Failover
CI/CD & Version Control
Storing Prompts In Code Repository
Standard Git Control
Version Control Of Prompts & Middleware In Git, Separate Dev/Prod Environments
Full CI/CD Lifecycle For Prompts (GitOps) & Automated Infrastructure Deployment
Observability & Monitoring
Developer Consoles Provided By API Vendors
Cost & Error Tracking
Basic Monitoring Of API Limits, Response Latency & Token Usage
Deep Observability
Distributed Tracing, Custom Grafana Dashboards
Beta Testing & Soft Launch
Soft Launch For A Limited Internal Group
Up To 5 Users
Focus Group Testing With Early Customer Feedback Analysis
Gradual Rollouts To Business Groups & A/B Testing Of Models
Business Analysts (BA)
On demand
Depending on project scale
Depending on project scale
AI Solution Architects
On demand
Depending on project scale
Depending on project scale
AI Full-Stack Engineers
Depending on project scale
AIX Designers (Interfaces & Dashboards)
On demand
Depending on project scale
Depending on project scale
QA Automation Engineers
Depending on project scale
2 weeks - 1.5 months
$5 000+
Request
1-3 months
$15 000+
Request
3+ months
$50 000+
Request
Modular AI Integration
Rapid integration of ready-made AI models via cloud APIs to solve specific operational tasks (automatic classification, text extraction)
Discovery Workshop & Infrastructure Audit
Integration Architecture Design
Model Selection & Evaluation
Data Prep & RAG Contour
Vector Database Setup
Orchestration & Cognitive Logic
Basic Linear Prompts & Standard Function Calling
MCP Servers & API Gateways
Standard API Connectors
Make, Zapier Or Ready-Made Integrations
Data Security & Masking
Basic
API Key Encryption, Standard Provider Filters
Human-in-the-Loop Interfaces
Simple Messenger Integrations
Slack/Teams Alerts With Approval Buttons
Queue & Load Balancing
Standard Rate Limiting Handled On Client Library Level
Failover & Evaluation
Manual Validation Of AI Responses On A Test Sample
Up To 50 Queries
CI/CD & Version Control
Storing Prompts In Code Repository
Standard Git Control
Observability & Monitoring
Developer Consoles Provided By API Vendors
Cost & Error Tracking
Beta Testing & Soft Launch
Soft Launch For A Limited Internal Group
Up To 5 Users
Business Analysts (BA)
On demand
AI Solution Architects
On demand
AI Full-Stack Engineers
Depending on project scale
AIX Designers (Interfaces & Dashboards)
On demand
QA Automation Engineers
Depending on project scale
2 weeks - 1.5 months
$5 000+
Request
Custom AI Pipeline
Building a dedicated middleware contour with RAG system setup, custom vector databases, and response validation scenarios
Discovery Workshop & Infrastructure Audit
Integration Architecture Design
Model Selection & Evaluation
Data Prep & RAG Contour
Vector Database Setup
Orchestration & Cognitive Logic
Middleware Orchestrator
Reasoning Scenarios, Prompt Templates, Dialog
MCP Servers & API Gateways
Custom API Adapters & Integration Gateways
Up To 5 Internal Systems
Data Security & Masking
PII Masking, Access Control On Middleware Level, Guardrails
Human-in-the-Loop Interfaces
Custom Slack/Teams Approval Widgets & Basic Handover To Live Operator
Queue & Load Balancing
Asynchronous Request Queue To Prevent API Overloading
Failover & Evaluation
Automated Response Validation & RAG Contour Logic Testing
CI/CD & Version Control
Version Control Of Prompts & Middleware In Git, Separate Dev/Prod Environments
Observability & Monitoring
Basic Monitoring Of API Limits, Response Latency & Token Usage
Beta Testing & Soft Launch
Focus Group Testing With Early Customer Feedback Analysis
Business Analysts (BA)
Depending on project scale
AI Solution Architects
Depending on project scale
AI Full-Stack Engineers
Depending on project scale
AIX Designers (Interfaces & Dashboards)
Depending on project scale
QA Automation Engineers
Depending on project scale
1-3 months
$15 000+
Request
Enterprise AI Ecosystem
Deep integration of private or commercial models into a secured client contour with end-to-end analytics and AI orchestration
Discovery Workshop & Infrastructure Audit
Integration Architecture Design
Model Selection & Evaluation
Data Prep & RAG Contour
Vector Database Setup
Orchestration & Cognitive Logic
Multi-Agent Orchestration
Autonomous Agents With State And Memory
MCP Servers & API Gateways
Development Of Custom MCP Servers & API Gateways Without Limits
Data Security & Masking
Deep Private Security Contour
Guardrails, real-time masking, HIPAA/GDPR
Human-in-the-Loop Interfaces
Custom Approval Dashboards & Automated Seamless Handover To Operators
Queue & Load Balancing
Distributed Queues (Redis/RabbitMQ) & Dynamic Worker Load Balancing
Failover & Evaluation
Continuous CI/CD Evaluation Of Hallucinations & Automated Model Failover
CI/CD & Version Control
Full CI/CD Lifecycle For Prompts (GitOps) & Automated Infrastructure Deployment
Observability & Monitoring
Deep Observability
Distributed Tracing, Custom Grafana Dashboards
Beta Testing & Soft Launch
Gradual Rollouts To Business Groups & A/B Testing Of Models
Business Analysts (BA)
Depending on project scale
AI Solution Architects
Depending on project scale
AI Full-Stack Engineers
Depending on project scale
AIX Designers (Interfaces & Dashboards)
Depending on project scale
QA Automation Engineers
Depending on project scale
3+ months
$50 000+
Request

PoC or PoT

Software Prototype

MVP

Full-scale Software

Case Studies

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ChatGPT-Based Study Assistant Mobile App

ChatGPT-Based Study Assistant Mobile App

An e-Learning company faced a challenge of improving the academic performance of their students. The goal was to create an app for study assistance with a database for each supported subject. The project evolved to be a Mobile Application with integrated ChatGPT API

AI Assistant for Teachers

AI Assistant for Teachers

AI-driven SaaS solution for schools designed to reduce teachers’ workload by automating the preparation of materials for homework, classroom quizzes, and cumulative assessments, and by providing automated grading with analytical insights

AI-driven Customer Support App

AI-driven Customer Support App

AI-driven SaaS solution for customers requiring rapid and efficient resolution of appliance support and repair issues

AI-Powered Brain-Computer Interface App

AI-Powered Brain-Computer Interface App

The Brain-Computer Interface (BCI) and AI-powered mobile app leverages EEG signals to manage stress, attention, and cognitive load, ultimately enhancing overall learning outcomes

Lab Results Tracker

Lab Results Tracker

A mobile app providing convenient lab test management, visual health tracking, and AI-driven recommendations for proactive care coordina

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Client Reviews

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Slide

They were able to overcome any problem that could arise. SEVEN's delivered platform met the client's needs and requirements. Their professional project management and communicative approach to keep the team updated were also key to the engagement's success. The team also praised their reliability and dedication throughout the partnership.

Analytics Company

Executive
Slide

SEVEN is a true part of our team. They’ve made an exceptional commitment to us. Quality, reliability, and scalability are the qualities they bring to our development. They're deeply committed to responsive communication and available in emergent situations. They’re a full-service agency that allows us to work with just one partner for this whole complex project.

Spare Parts Business

CTO & Co-Founder
Slide

Without SEVEN, this technology wouldn't exist, and we wouldn't have a product. Their work ethic is phenomenal, and the team is very passionate about their work and what they deliver. They want to provide the best service and build the best product possible.

On-Demand Gym Membership Platform

Founder
Slide

One thing that I loved about working with SEVEN was how transparent they were. Their level of engagement and communication was excellent. The team also had a really impressive, in-depth discovery process. Their process actually provided a lot of support especially in areas that I hadn’t considered.

UX Design Agency

Co-Founder & Director
Slide

They’re extremely professional, and they pay great attention to me as a customer. SEVEN has created an app that stands out from the competition in terms of functionality and design. A proactive, attentive team, they consistently under-promise and over-deliver. Customers can expect a fast, impactful engagement.

Repair Service App

Founder
Slide

I got the impression that we're dealing with true professionals and that they understand our needs. The most impressive thing about this company is how they deliver a project with ease. They would do their best to help us reach our goals. And I felt they truly understand the project.

LED Group

Digital Design & Project Lead
Slide

SEVEN are great to work with and highly organized. Prior to even starting, SEVEN focused on understanding the needs of the project. The product met and exceeded our expectations. Also, very effective and honest communication. We are looking forward to building out the platform further with SEVEN.

Environmental Engineering Firm

Founder & CEO
Slide

We liked the new site's aesthetic look, with 100% satisfaction from our internal team, thanks to SEVEN. They promised high-quality engineers/web developers, and they delivered, which resulted in a successful project outcome.

Computer Networking Company

CEO
Slide

SEVEN was always on top of communication and accommodation. They were transparent about the process and how they kept up with the work. SEVEN did a fantastic job with the project. Once we secure more funding, we'll continue our collaboration with SEVEN because of how well they did.

University

Medical Physicist
Slide

They’ve been instrumental in the business and have implemented all required features for the platform. They’ve delivered on time and have been flexible with the team composition and communication tools. Their work ethic and passion for the project stand out.

On-Demand Gym Membership Platform

Founder
Slide

SEVEN delivered good quality software on time, which satisfied our requirements. Their availability throughout impressed us. Project was finished in good quality and in time, and the only thing they can do in the future is to keep the current quality of work.

Telecommunications Company

CTO
Slide

Their flexibility and friendliness were impressive. SEVEN delivered a well-functioning e-commerce platform, including its staging environment. Everything worked as expected.

Social Impact Startup

Technical Lead
Slide

The calculator that SEVEN developed was successfully launched, which proven profitable and valuable. The team was an understanding partner who provided practical recommendations to mitigate emerging risks. Their knowledge, professionalism, and skills helped the client save money and time.

Human Resources Company

Managing Director
Slide

SEVEN has a lot of great ideas that hadn't even crossed our minds. They are communicative, professional, and responsive to feedback. Moreover, they've adapted their team composition to fit the client's budget. Their passion for their work results in valuable ideas that stand out.

Flight Support Company

CTO
Slide

The deliveries were always on time and they responded very well to our requests. Their developers impressed with their great job and professional communication.

Guitar School

Owner
Slide

SEVEN made a huge work to provide a turn-key solution for this project. Their flexibility and friendly​ atmosphere were impressive in the workflow. Their versatility stood out in the partnership.

Communications Platform

Founder
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