Flagship practiceBuilt and managed
Applied intelligenceBuilt around your work
Custom agents
Selected clients
Across our studio history
The company
Research that reaches production.
Standby Labs is an applied AI research and product lab. We study how intelligent systems behave under latency, ambiguity, tool use, failure and human escalation. Then we engineer them into work people can rely on.
Voice is our flagship. We also build custom agents, connected automation and the operating layer behind them.
Technology we work withSelected for the system and the work
ElevenLabsAnthropicHighLevelGoogle CloudHubSpotSupabaseVercelPostgresNext.jsGoogle CalendarStripe
HighLevelWhat we do
Built for real work.
Managed for the long run.
We design the agent, connect the systems and remain responsible after launch.
Flagship practice01
Voice Agents
Handle real conversations and complete real work.
Calls / Qualification / Booking
Book a call Purpose built02
Custom Agents
A defined role, controlled tools and clear human limits.
Research / Decisions / Actions
Book a call Have a system in mind?
Book a call Bring us the work. We will tell you what should be an agent, what should be automated and what should stay human.
Voice systems in motion
Hear the work happen.
Choose a call, press play and follow the conversation as the agent completes the task.
Sample call
Maya · AI voice agent
Marina Dental · Dental front desk
Reschedule a patient
The agent finds a new time, updates the calendar and confirms the change.
Call→Calendar→Reminder
0:000:00
Completed action✓Appointment updated
Call transcriptReady to play
agent
Marina Dental, this is Maya. How can I help?
caller
I need to move my Thursday cleaning.
agent
Of course. I have Thursday at 3:30 or Friday morning.
caller
Thursday works.
agent
Rebooked, and I have sent the reminder.
From research to production
The work begins
where the demo stops.
EvalsScenario testingBefore a system reaches users
<2sReal time targetFor responsive voice systems
HumanEscalation by designClear limits and clean handoffs
WeeklyReview cadenceEvidence becomes iteration
What we evaluate
Completion, latency, accuracy, recovery and human escalation. A serious AI system is measured by what it finishes and how it behaves when it cannot.
The team
Small team.
Clear ownership.
The people responsible for product, engineering and the final outcome stay close to every build.
Research notes
What we learn
while building.
Field notes on agent behaviour, workflow reliability and governance.
R/01 · Voice systems9 min
Human sounding is no longer the difficult part
The research question has moved from voice realism to timing, interruption, tool use and knowing when a person should take over.
Read research noteR/02 · Governance11 min
The operational rules for AI voice across the US, UK and UAE
A practical field guide to consent, disclosure and the difference between answering demand and manufacturing it.
↗R/03 · Deployment8 min
A talking prototype is not a production agent
What happens between the first successful run and a system trusted with real work.
↗Active research lines
Agent evaluation · workflow orchestration · multilingual interaction
Open the research logNew research or build
Bring us the system
that should exist.
A customer workflow, an operational bottleneck or an agentic product. We will study the environment, define the useful system and tell you whether it should be built.
Book a call
hello@standbylabs.comDubai, UAE · Working with teams worldwide