How does semantic caching actually work?

Instead of looking for exact text matches, we look for meaning matches. If a user asks 'How do I reset my password?' and later someone asks 'Where is the password reset link?' the cache recognizes they have the same intent and serves the stored answer.

Can we use this for internal developer tools only?

Yes. Many of our clients use their gateway as an internal AI service layer that their own developers query securely without direct model access or uncontrolled spend.

How do you handle rate limiting across teams?

We provide tiered access controls: giving high-priority production applications unlimited throughput while capping experimental or dev workloads so they don't blow the budget.

Can we switch AI models without changing our application code?

Yes. This is the biggest architectural advantage. You point your app to the Intelegencia gateway, and we can change the underlying model in the gateway settings without touching your application code.

Is this compliant with GDPR and HIPAA?

Yes. Because our gateway sits inside your security perimeter, it can redact sensitive data before it leaves your jurisdiction, making public AI compliant for regulated industries.

AI-First Application Services

Enterprise API & AI Model Integration through One Secure Gateway

We connect your entire business ecosystem to the world's most powerful AI models via secure, scalable API gateways with multi-model routing, cost governance, and PII protection built in.

Talk to an Expert

Start your project with us

The Enterprise Intelligence Gateway

In the AI era, your API layer is your competitive infrastructure. But managing dozens of AI models (GPT-4o, Claude, Gemini, Llama) while connecting them to internal databases and third-party tools is a complex engineering challenge that most teams aren't equipped to handle safely. We build the orchestration layer that connects your business to the global AI ecosystem, engineering high-performance AI gateways that handle security, rate limiting, cost monitoring, and failover logic. We ensure your data flows securely between your systems and the models—providing a single unified intelligence API that your internal teams can use to build features without worrying about the underlying complexity.

The Old Way

Unmanaged AI Access

The Intelegencia Way

Enterprise AI Governance

Developers using personal AI keys

Centralized enterprise gateway

No visibility into AI spend

Real-time cost dashboards

Single-model dependency risk

Multi-model routing & failover

Slow, unoptimized API calls

Low-latency semantic cache

Data privacy leakage risk

Strict PII redaction shields

Multi-Model Routing & Failover

Don't put all your AI eggs in one basket. We build gateways that automatically route requests to the best model based on cost, latency, or availability and switch providers instantly if one goes down. If OpenAI experiences an outage, your gateway automatically switches to Anthropic or a private Llama instance. We ensure your AI layer maintains 99.99% uptime, protecting your production applications from external provider failures.

Dynamic API Model Routing

Automated High-Availability Failover

Model Performance Benchmarking

Latency-Based Selection Logic

Fallback Logic Engineering

Enterprise PII Redaction Shields

Sending customer names or social security numbers to a public AI API is a major compliance violation. We build redaction proxies that automatically identify and mask PII before it leaves your VPC perimeter. When the AI responds, the proxy unmasks the data for your internal user. You get the power of public AI with the security of a private database, a privacy shield between your sensitive data and the models.

Real-Time PII Identification

Dynamic Token Masking

Data Privacy Audit Logs

VPC-Level Security Sync

Regulatory Compliance Proofs

Semantic Prompt Caching

AI tokens are expensive. We build semantic caches that store the answers to common questions. If a user asks something similar to a question asked five minutes ago, the gateway serves the cached answer instantly at zero incremental cost. This reduces your AI operational costs by up to 50% while improving response times by 90%. We make your AI operations economically sustainable as you scale to millions of users.

Vector-Based Semantic Caching

Token Usage Optimization

Latency Reduction Hub

Cost-Per-User Analytics

Intelligent Cache Invalidation

The Orchestration Stack

Integration Capabilities

Specialized API engineering to connect your enterprise to the frontier of AI securely and at scale.

Gateway Engineering

Building custom Kong, Tyk, or AWS-native AI proxies for your infrastructure.

Cost Monitoring

Real-time dashboards for per-token and per-department AI spend visibility.

VPC Model Hosting

Deploying open-source models (Llama 3) inside your secure private cloud.

Vector DB Sync

Connecting your APIs to Pinecone, Weaviate, or Milvus for RAG use cases.

Unified Tool-Use & Function Calling

AI is most valuable when it can take action, not just generate text. We build the action layer that allows AI models to securely call your internal APIs: to check inventory, update a CRM record, or generate an invoice. We provide a secure sandbox environment where function calling is strictly governed and fully audited. We turn your AI from a conversationalist into an operator, capable of interacting with your entire software ecosystem under controlled conditions.

Secure Function-Call Sandboxes

API Connector Libraries

Human-in-the-Loop Approvals

Permissioned Tool Access

Action Traceability Logs

AI Model Benchmarking & Testing

Choosing the right model is a moving target. We build automated benchmarking tools that continuously test different AI models against your specific business data, measuring accuracy, latency, and cost to ensure you're always using the best tool for the job.

Automated Model Benchmarking

Real-World Accuracy Testing

Latency Performance Audits

Cost-per-Token Comparison

Model Drift Detection

Scalable AI-Native Infrastructure

We build the robust, cloud-native infrastructure required to support high-scale AI operations. From elastic GPU orchestration to high-concurrency API backends, we ensure your AI-powered services remain fast and reliable even under peak demand.

Elastic GPU Orchestration

High-Concurrency API Logic

Global Model Deployment

Auto-Scaling Cloud Infra

Low-Latency Data Sync

The Path to Connectivity

Our Integration Roadmap

We build your AI gateway through a structured security audit and multi-model orchestration phase.

AI Usage Audit

Mapping all current and shadow AI usage across your development teams and tools.

Security Proxy Setup

Deploying the PII redaction and rate-limiting gateway layer inside your VPC.

Model Route Mapping

Defining the logic for which tasks go to which models based on cost vs. capability.

Cache Optimization

Activating semantic caching to drive down token costs on repetitive queries.

Enterprise Dashboard

Launching the unified command center for all AI API operations and spend.

Measured Performance. Proven Growth.

AI Spend Savings

AI Uptime

Data Redaction

0 ms

Gateway Latency

Frequently Asked Questions
About Enterprise API & AI Model Integration

Here you will find answers to questions we get asked the most about our offerings.

A key is just access. A gateway provides the security, cost tracking, and reliability your enterprise needs. It prevents developers from leaking data and ensures your business isn't dependent on a single AI provider.