Connectify pairs a proprietary multi-agent runtime with the strongest AI models on the market — Claude, GPT, Gemini, Llama and Mistral — and embeds them into the workflows your operators already live in. No bolt-on chatbots, no science-fair projects, no vendor lock-in.
Book a 30-minute AI strategy call →Cheap, fast models handle routine work; frontier models step in for reasoning-heavy tasks — visible in your admin, rebalance any time.
Connectify designs and ships AI products that sit inside your real workflows — voice receptionists, AI sales agents, document extractors, autonomous back-office agents. Built on top of our proprietary multi-agent runtime, with the best frontier model picked per task.
We embed Claude, GPT, Gemini, open-source models and vertical AI agents into your ERP, CRM and storefront — through our integration adapters. No bolt-on chatbot tabs: the AI lives inside the workflow.
Software is only half the work. Connectify runs structured enablement for product, ops, sales and finance teams — prompt engineering, evaluation methodology, model risk and governance, and the rituals to make AI adoption stick.
We pick the right model per task — not the one a vendor told you to use.
Long-context reasoning, tool use, agentic flows
Multi-modal, code execution, broad ecosystem
Workspace-native, multi-modal, deep Google stack
Open weights, on-prem inference, full control
EU-resident inference, efficient open models
Proprietary AI phone agent with CRM-native memory
We build a per-task router. Cheap, fast models handle routine work; frontier models step in for reasoning-heavy steps. The router exposes cost, latency and accuracy in your admin so you can rebalance any time without rewriting code.
We augment. Connectify ships the platform and trains your team to operate it. After go-live we run a managed-retainer for as long as you want, but your operators always have the controls and the runbooks.
Three layers: a 1-day exec briefing on AI risk and economics; a 3-day operator workshop on prompts, evals and tooling; and an embedded coach who joins your weekly product reviews for 90 days.
Yes. We run on enterprise tenants with no-training agreements, zero-retention APIs where available, and PII redaction at the router edge. For regulated workloads we ship on-prem inference with open-weights models.
The standard window is 30 days from scoped problem to shipped feature, plus a 1-week monitored stabilization period. We do not start until the scope is small enough to actually meet that promise.
Fixed-fee implementation with $0 due until the AI product is live in production. Afterward, a flat monthly retainer covers managed runtime, model spend pass-through at cost, and the on-call training coach.
We have shipped AI products inside the workflows below. Pick your vertical to see exactly how we approach it — the failure modes we have already solved and the model routing that fits your operation.
Our model router and proprietary runtime adapt to any operational data model. Send us a 2-line description of your workflow and we will scope the AI build.
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