AI that fits
your stack.
LLM APIs, CRM connections, data pipelines, and legacy connectors — we integrate AI into the systems your team already uses, so it works where work actually happens.
The glue between AI and your business.
From single LLM connections to enterprise-wide integration architectures — every project is built for reliability, security, and scale.
LLM Integration & API Development
Connect large language models to your applications with production-grade API layers. Prompt engineering, response caching, fallback routing, rate limiting, and cost controls — built for reliability at scale, not just a quick prototype.
CRM & Business Tool Integration
Wire AI directly into Salesforce, HubSpot, Zendesk, Slack, and your internal tools. Automated lead enrichment, intelligent ticket routing, AI-generated summaries, and predictive insights — all inside the systems your team already lives in.
Data Pipeline Development
ETL/ELT pipelines that feed clean, structured data to your AI systems. Batch and streaming architectures built for reliability.
API Gateway & Orchestration
Centralized API management that routes requests, handles authentication, manages rate limits, and orchestrates multi-model workflows.
Legacy System Connectors
Custom adapters for SOAP services, FTP exchanges, mainframes, and proprietary databases. AI meets your systems where they are.
Real-Time Data Streaming
Event-driven architectures with Kafka, Pub/Sub, or WebSockets. AI processes data as it arrives — no batch delays, no stale context.
Security & Compliance Layer
Encryption, access controls, data masking, and audit trails for every AI interaction. HIPAA, SOC 2, and GDPR ready.
Monitoring & Observability
Real-time dashboards for latency, error rates, token usage, and model performance. Alerts before your users notice problems.
Built for teams with disconnected AI.
AI only delivers value when it's connected to the systems where work happens. Here's who we help bridge the gap.
Companies with AI tools that aren't connected
You bought AI-powered products, but they operate in isolation. Data doesn't flow between them, and your team copies results from one tool to another manually. You need a connected system.
Teams needing LLMs integrated into workflows
Your team gets value from ChatGPT or Claude, but they're switching between tabs and copy-pasting results. You need AI embedded directly inside your applications and processes.
Organizations with data trapped in silos
Critical data lives in separate systems that don't talk to each other. AI can't deliver value if it can't access your data. Integration breaks down the walls between your tools.
Businesses wanting AI-powered automations across tools
You see the potential for AI to automate workflows that span multiple systems — CRM to email to invoicing to reporting. You need someone who can build the integrations that make it real.
From architecture to production in four phases.
Integration Architecture & Mapping
We map your entire system landscape — every tool, database, API, and data flow. We identify integration points, data dependencies, and bottlenecks. The output is an architecture diagram and a prioritized integration plan with clear sequencing.
API Development & Connectors
We build the integration layer — REST/GraphQL APIs, webhook handlers, custom connectors for legacy systems, and data transformation logic. Every integration follows consistent patterns: error handling, retry logic, idempotency, and comprehensive logging.
Testing & Data Validation
End-to-end testing across all connected systems. We validate data integrity at every integration point, test failure scenarios, verify rate limit handling, and confirm that AI outputs meet quality thresholds before any data flows into production systems.
Deployment & Monitoring
Staged rollout with real-time monitoring dashboards — latency, error rates, data throughput, and AI model performance. Automated alerts catch issues before users do. Post-launch optimization based on production traffic patterns and usage data.
Questions we hear about AI integration.
What does AI integration actually mean?
AI integration connects AI models and capabilities to your existing business systems — CRMs, ERPs, databases, APIs, and internal tools. Instead of AI as a standalone chatbot or demo, it becomes part of your actual workflows: enriching CRM records, processing documents, generating content, surfacing insights, and automating decisions inside the tools your team already uses.
Can you integrate AI with our legacy systems?
Yes. We build custom connectors for legacy systems that lack modern APIs — SOAP services, FTP-based file exchanges, mainframe interfaces, and proprietary databases. We create an abstraction layer that lets AI interact with legacy data without requiring a full system rewrite. Your existing infrastructure stays in place while gaining AI capabilities.
How long does a typical AI integration project take?
Simple integrations (connecting an LLM to a single tool via API) can be completed in 2-4 weeks. Multi-system integrations with data pipelines and custom connectors typically take 6-12 weeks. Enterprise-scale projects involving legacy systems, real-time streaming, and compliance requirements may take 12-16 weeks. We deliver in phases so you see value incrementally.
How do you handle data security during AI integration?
Security is built into every integration layer. We implement encryption in transit and at rest, API key rotation, role-based access controls, data masking for sensitive fields, and audit logging for all AI interactions. For regulated industries, we add compliance-specific controls — HIPAA, SOC 2, GDPR — and can deploy models in your own infrastructure to keep data on-premises.
What does an AI integration project cost?
AI integration projects typically range from $15K-$75K depending on the number of systems, complexity of data flows, legacy system requirements, and compliance needs. Single-tool integrations start around $10K. We begin with a paid architecture phase that maps your integration landscape and produces a detailed scope before committing to the full build.
Ready to connect AI to your business?
Tell us about your current systems and where AI should plug in. We'll map the integration architecture, identify quick wins, and build the connectors that make AI part of your daily workflow.