Own the outcome
We treat your automation layer as infrastructure: documented, observable, and handoff-friendly—so you are not locked into heroics.
About Autosphere Labs
A studio for systems that keep working after the launch call ends
Automation, AI & Game Development Studio. We help teams replace fragile manual work with dependable workflows, ship Voice AI that respects guardrails, and publish mobile games with room to iterate 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
How we think
Principles behind every engagement
Small set of non-negotiables—so scope stays honest and delivery stays grounded.
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.
Ship in measurable slices
Each milestone ties to a metric you can read: time saved, tickets deflected, or release confidence—so progress stays objective.
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.
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.
Agents that sound helpful, not reckless
Intent design, guardrails, and handoff to humans when confidence drops—plus integrations with telephony, calendars, and your CRM.
Games that ship and stay patch-ready
Puzzle, casual, word, and hyper-casual titles for iOS and Android—built for stable releases and post-launch iteration.
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
ReliabilityObservabilitySafetyVelocity
- Queues, retries, and structured logging for integrations
- Voice AI with intent boundaries and human handoff paths
- Game builds tuned for patch cadence and store readiness
Delivery model
From discovery to stable operations
A clear sequence so expectations and outcomes stay aligned.
01
Discover
We map workflows, stakeholders, failure modes, and success metrics—before writing production logic.
02
Build
We implement integrations, Voice AI behavior, or game milestones with tests and staging paths.
03
Operate
We add monitoring, alerts, and runbooks—then iterate with data instead of guesswork.
Stack & tools
Technologies we deploy in production
Representative stack—exact mix depends on your environment and compliance needs.
n8nMakeZapierOpenAITwilio / VapiSupabaseAirtableUnityNext.js
Also: n8n, Make.com, Zapier workflows; API & Data Integrations with Airtable, Supabase, MongoDB; Game & Web Development with Unity, React.js, and Next.js.
Proof points
Outcomes we measure with clients
Directional indicators from automation, Voice AI, and delivery work.
500k+
automations run
40+ hrs/month
time saved (typical ops)
90% of inquiries
inquiries handled (Voice AI)
Location
Based in Surat, working with teams globally
C2-1015, Pragati IT Park, Mota Varachha, Surat, Gujarat, India