Enterprise AI agents, apps, and experiences built to ship.
Intellivanta designs and builds AI agents, mobile apps, cloud infrastructure, and product experiences for teams who need it in production, not in a slide deck.
One team. Four disciplines.
No handoffs between an agent shop, an app agency, and a design contractor — the same team carries context from the first prototype to production.
Agents that complete the task, not just answer the question.
We design and deploy autonomous agents that plan, call tools, and take action inside your existing systems — with a human in the loop wherever it matters.
- Task-executing agents
- Tool & API orchestration
- RAG & knowledge retrieval
- Human-in-the-loop guardrails
Native products built around real usage, not just a demo flow.
iOS, Android, and cross-platform apps engineered for offline reliability and on-device intelligence — the parts that make a demo feel like a product.
- iOS & Android native
- Cross-platform (React Native)
- On-device inference
- Offline-first architecture
Infrastructure that scales quietly and stays observable when it doesn't.
Serverless and containerized backends, model hosting, and data pipelines built with cost and observability treated as first-class requirements, not afterthoughts.
- Serverless & containerized backends
- Model hosting & inference pipelines
- Data pipelines & vector stores
- Observability & cost control
Interfaces people trust enough to hand real decisions to.
Product design, design systems, and conversational UX built alongside the agent behavior itself — so the interface never has to apologize for what the model can't do yet.
- Product & interaction design
- Design systems
- Conversational & agentic UX
- Usability research
Three pillars. One build.
Every project stands on the same foundation, whichever service brought you to us.
Discover
We map the workflow worth automating and size the effort honestly before writing a line of code.
Build
Interface and agent behavior get prototyped together, then shipped in weekly increments in a shared repo.
Scale
Post-launch, we monitor behavior, retrain where drift shows up, and hand over a system your team can run.
A few systems we've shipped.
Every build below pairs at least two disciplines under one team — illustrative of how we typically scope a project.
Support triage agent, paired with a companion app
An agent classifies and routes incoming tickets, escalating only what a person actually needs to see. A lightweight mobile app gives the support team a queue they can act on from anywhere.
- 6 weeks from prototype to launch
- Same team across agent and app
- Escalation path built in from day one
Inference infrastructure for a multi-region rollout
A serverless inference layer with autoscaling and cost dashboards, built to support agents running across several regional teams without a shared ops burden.
- Cost-per-call visibility by team
- 99.98% measured uptime post-launch
- Zero-downtime model rollbacks
A design system built alongside a native app rebuild
The interface and the underlying app were redesigned together, so the new design system was validated against real screens instead of a static style guide.
- 84-component shared design system
- Usability-tested before full build-out
- Consistent handoff from design to engineering
Intellivanta's team designed and shipped our support agent and the companion app in the same sprint cycle. Nothing got lost between design and engineering.
We'd tried three separate vendors before Intellivanta. Having one team across agents, cloud, and design cut our timeline in half.
The monitoring and fallback paths they built in meant our agent kept working quietly for months without us thinking about it.
One team. Four disciplines. Every project.
Most AI projects don't fail on the model — they fail in the gaps between the agent, the app, the infrastructure, and the interface. We close those gaps by keeping one senior team across all four, from prototype to production.
One team, four disciplines
No handoffs between a separate agent shop, app agency, and design contractor. The same people carry context the whole way through.
Production, not prototypes
Every system ships with monitoring, fallback paths, and a rollback plan — because a demo that works once isn't the same as a system that runs unattended.
Senior only
Every project is staffed by people who've shipped this kind of system before, not junior hours billed at senior rates.
Build systems, not just demos.
We're a senior-only team by design. We don't always have open roles listed — email us with what you do and we'll follow up if there's a fit.
Agent Engineering
Building and operating production AI agents — orchestration, tool use, evaluation, and guardrails.
Reach out →Product & Cloud Engineering
Native and cross-platform app development, plus the infrastructure and pipelines underneath it.
Reach out →Product Design
Interaction design, design systems, and conversational UX for agent-driven products.
Reach out →Ready to build with a team that ships?
Tell us what you're building — an agent, an app, or all four disciplines at once.
Tell us what you're building.
Share a few details and we'll reply within a business day with next steps — no sales runaround.
hello@intellivanta.ai- We reply within one business day
- A short call to scope the workflow
- A written proposal, not a vague estimate