Turn your idea into a market-ready product — faster, smarter, better.
Large Language Models (LLMs) can read, write and reason. Integrations connect that power to your website, CRM, helpdesk, documents, and workflows—so AI can answer customer questions, draft content, search your knowledge base, and automate routine tasks with your context and rules.
Think of the LLM as a smart engine. Integration is how we connect that engine to your world—your website, CRM, helpdesk, databases, and files—so it can understand your content, follow your rules, and help your team and customers in real time.
We align with your goals first, then design, architect and secure the right stack. Expect clear outcomes: lower response time, higher CSAT, faster document discovery, and measurable productivity gains.
Grounded answers: connect to your docs, CRM, tickets & knowledge bases
Governance: PII redaction, role-based access, audit trails & rate limits
Scale safely: caching, fallbacks, monitoring, and cost controls
Answer FAQs, triage tickets, and draft responses using your manuals, policies, and past tickets. Handover to agents with full context.
Ask questions in plain English and get cited answers from policies, SOPs, PDFs, and wikis—no more digging through folders.
Try a live demoDiscovery → Design → Integration → Safety → Launch. We start with outcomes, pick the right model (OpenAI or open-source), connect secure data pipelines, add guardrails, and ship a measurable MVP fast.
Identify high-impact tasks and exact data sources (CRMs, tickets, drives, wikis). Define success metrics.
Wire up apps via APIs/webhooks. Embed AI into web, mobile, or internal tools with clean UX.
RBAC, content filters, data masking, citations, and human-in-the-loop where needed.
Latency & cost controls, usage analytics, feedback loops, and continuous improvement.
It’s how we connect an AI model to your apps and data using secure APIs. The model can then retrieve the right information, follow your rules, and perform tasks like answering questions, drafting emails, or summarizing documents.
Yes. We implement strict access controls, encryption, and audit logs. We can use providers with data-control options or deploy open-source models in your cloud for full isolation.
Most teams see value with a focused MVP in 2–6 weeks. We start small (one use-case), measure impact, then expand.
No. We integrate with what you already use—CRMs, helpdesks, drives, chat, databases—so your team keeps its workflow and gains AI superpowers.
We are model-agnostic. We pick the best fit for your security, cost, and performance needs—OpenAI, Anthropic, or open-source models deployed in your VPC.
We use retrieval-augmented generation (RAG) with up-to-date sources, citations, and guardrails. Your team can review and improve outputs over time.