About Autosphere Labs

Automation, AI & Game Development Studio. We help teams replace fragile manual work with dependable workflows, ship Voice AI that respects guardrails, and develop and publish mobile games we keep operating after release.

Mission

Make complex operations feel boring, in a good way

Boring means predictable: the same integration behaves the same on Tuesday as it did on Monday. We optimize for fewer surprises, clearer ownership, and tooling your team can actually maintain.

We don't stop at “it worked once.” We build for retries, monitoring, and change, so your stack survives real traffic and real people.

  • Explicit schemas and contracts between systems
  • Runbooks your team can follow without a fire drill
  • Iteration tied to metrics, not opinions

Proof points

Outcomes we measure with clients

Directional indicators from automation, Voice AI, and delivery work.

automations run
500k+
time saved (typical ops)
40+ hrs/month
inquiries handled (Voice AI)
90% of inquiries

How we think

Principles behind every engagement

A small set of non-negotiables, so scope stays honest and delivery stays grounded.

  1. Own the outcome

    We treat your automation layer as infrastructure: documented, observable, and handoff-friendly, so you are not locked into heroics.

  2. Design for failure

    Retries, dead-letter paths, and clear alerts are part of the first build, not a later panic. Systems should degrade gracefully under load.

  3. Ship in measurable slices

    Each milestone ties to a metric you can read: time saved, tickets deflected, or release confidence, so progress stays objective.

  4. Stay integration-native

    We align with how your stack already works: CRMs, calendars, telephony, data stores, and game backends, connected with explicit contracts.

What we build

Three lanes, one delivery standard

Different surfaces, same bar for clarity, safety, and operational fit.

All services
  • Automation

    Workflows that survive Monday morning

    n8n (cloud and self-hosted), Make.com, and Zapier scenarios with queues, idempotency, and monitoring, so handoffs between tools stay predictable.

    Explore automation
  • Voice & AI

    Agents that sound helpful, not reckless

    Intent design, guardrails, and handoff to humans when confidence drops, plus integrations with telephony, calendars, and your CRM.

    Explore AI agents
  • Games

    Games we develop, publish, and distribute

    Puzzle, hyper-casual, action, and word titles for iOS and Android, built for clients under their own IP and for our own portfolio on the platform we operate.

    Explore game development

Stack & tools

Technologies we deploy in production

Representative stack. The exact mix depends on your environment and compliance needs.

  • n8n
  • Make
  • Zapier
  • OpenAI
  • Twilio / Vapi
  • Supabase
  • Airtable
  • Unity
  • Next.js

Also: n8n, Make.com, Zapier workflows; API & Data Integrations with Airtable, Supabase, MongoDB; Game & Web Development with Unity, React.js, and Next.js.

Engagement style

Practical collaboration, documented handoffs

We work async-first with structured checkpoints, so decisions are captured and builds stay traceable.

Whether we're wiring CRMs and telephony, designing Voice AI flows, or shipping a Unity build, you get artifacts you can reuse: flow diagrams, node notes, test cases, and release notes, not just a demo that worked on someone's laptop.

What we optimize for

  • Reliability
  • Observability
  • Safety
  • Velocity
  • Queues, retries, and structured logging for integrations
  • Voice AI with intent boundaries and human handoff paths
  • Games driven from the server so content ships without a new build

Delivery model

From discovery to stable operations

A clear sequence so expectations and outcomes stay aligned.

  1. 01

    Discover

    We map workflows, stakeholders, failure modes, and success metrics before writing production logic.

  2. 02

    Build

    We implement integrations, Voice AI behavior, or game milestones with tests and staging paths.

  3. 03

    Operate

    We add monitoring, alerts, and runbooks, then iterate with data instead of guesswork.

Location

Based in Surat, working with teams globally

C2-1015, Pragati IT Park, Mota Varachha, Surat, Gujarat, India

Follow the studio

Start a pilot

One workflow, live in production in four weeks

If it does not earn its place, you have spent a month, not a year and a platform migration.

  1. Week 1

    Map

    We walk the workflow with your team and pick the slice worth automating first.

  2. Week 2

    Build

    Built against your real systems and data, not a sandbox.

  3. Week 3

    Launch

    Live behind monitoring, with retries tested against failure cases.

  4. Week 4

    Measure

    We review what ran and what it saved, then decide together whether it scales.