SingaporePanamaHong KongChina

GPU fabric / Singapore Singapore

GPU fabric · Singapore EDGE-1Est. 1999

We build the parts other voice companies rent.

Aldaria shows a reference architecture for private voice: GPUs, telephony and models that a deployment team can operate. We deploy agents for companies that cannot hand the call to someone else's cloud.

Private
GPU fleet
4
Jurisdictions
1
Languages
99.9%
Availability target
1999
Operating since

Operating footprint

Our stack marks · no client logos

Operating footprint and stack

AldariaSingapore · Operating
PanamaJurisdiction
Hong KongJurisdiction
ChinaJurisdiction
SIP Telephony
WebRTC Media
PSTN Ingress
GPU Inference
ASR / TTS Speech

These are template stack marks, not client endorsements. No client names, call flows or third-party logos are displayed.

01 / The thesis

Reference stack / composable

Most voice agents are assembled. This one is designed to be owned.

A voice agent is not a prompt. It is a chain of real-time systems. When one link is rented, the latency, the data path and the failure mode belong to someone else.

01

Speech, private.

ASR and TTS are designed to be trained and served on private accelerators. Domain vocabulary, code-switching and accent handling are tuned per deployment, not borrowed from a generic model.

Streaming ASR · Neural TTS · Custom lexicons

02

Telephony, private.

We operate the SIP edge, media path, number inventory and carrier interconnects. A dropped call can be traced without opening a vendor ticket.

SIP · WebRTC · PSTN · Porting

03

Compute, private.

Current-generation accelerators in Singapore, sized for inference. Continuous batching, quantisation and KV-cache control; single-tenant pools when residency requires it.

GPU pool · Private regions · On-prem

A conversation is a deadline. Every layer you rent is a layer you cannot see.

The reference stack: SIP edge, media, ASR, orchestration, tools, TTS and playout. The template makes every hop visible so the budget can be published.

See the architecture

03 / Machine room

EDGE-1 / private pool

The model does not wait behind another tenant.

A voice turn is a real-time workload. Inference is designed for private GPU pools in Singapore, with private weights and capacity sized for the call mix.

GPU / inference

We do not send a live conversation into a shared training queue. Speech and agent models are served from private accelerators, with a latency budget attached to every deployment.

  • Current-generation data-centre accelerators.
  • Private weights; no cross-tenant model training.
  • Continuous batching, quantisation and KV-cache control.
  • Canary releases and a tested rollback for every model change.

Capacity is part of the contract. Dedicated and sovereign deployments get their own pool, their own weights and a written runbook.

See the compute layer

Illustrative pool. GPU models, counts and capacity are agreed per deployment.

04 / The call

Reference budget · 480 ms

A natural turn takes about half a second. We budget every millisecond.

A caller does not wait for a pipeline. They wait for the next sound. This is the path our voice agents take, and the budget each stage gets.

01 / EDGE
SIP edge
20 ms

Termination, jitter buffer, SRTP. The call enters on a private media path.

02 / ENDPOINT
End of speech
140 ms

Acoustic and semantic endpointing. Barge-in detection runs in the same frame.

03 / ASR
Final hypothesis
60 ms

Streaming recognition is already warm. This is the final pass, not the first one.

04 / AGENT
Reasoning
110 ms

Policy, dialogue state and tool dispatch. First token, not the full answer.

05 / TTS
First audio
100 ms

Speech begins while the rest of the sentence is still being generated.

06 / PLAYOUT
Frame pacing
50 ms

Jitter control and concealment. The line stays continuous when a packet is late.

The budget, written down

Reference / p50
Reference latency budget for a single voice agent turn
StageBudget
SIP edge20 ms
Endpointing140 ms
Final ASR60 ms
Agent first token110 ms
TTS first audio100 ms
Playout50 ms
Turn480 ms

Tool calls run in parallel with speech. A blocking lookup pushes the turn to about 730 ms; we design around it rather than hiding it.

Barge-in
If TTS cannot stop inside a frame, the caller talks over the agent. We stop playback in under 60 ms and discard the queued audio.
Endpointing
A fixed silence timer fails on slow speakers and code-switching. We use acoustic and semantic cues, then let the caller resume.
Tool time
A 900 ms lookup is a bad conversation. We stream a holding phrase, cap the call at 800 ms, and design a fallback.
Handoff
A cold transfer loses the reason for the call. We pass the transcript, the entities and the attempted actions to the human queue.

Engineering targets, not marketing benchmarks. Every deployment is measured against its own budget.

05 / Deployment

Three operating models

Run it in our cloud, your cloud, or your building.

Same software. Same agent. The control plane, data path and model weights move to wherever the call is allowed to live.

Managed Singapore

Aldaria Cloud

Shared control plane, isolated runtime. We run the models, the telephony and the pager. You run the conversation design with us.

Tenancy
Isolated runtime
Data path
Singapore region
Models
In-house ASR / TTS
Telephony
Own numbers and carriers
Ops
24×7 Aldaria

Typical lead time: 2–4 weeks

Dedicated Single tenant

Dedicated pool

A single-tenant GPU pool with its own capacity, routing and retention rules. Your region, your numbers, or ours.

Tenancy
Single tenant
Data path
Your VPC or ours
Models
Dedicated weights
Telephony
BYO or Aldaria
Ops
Joint runbook

Typical lead time: 4–8 weeks

Sovereign Air-gap

Your perimeter

On-prem or air-gapped. Model weights shipped, no egress, your hardware and your telephony. We stay accountable for the stack.

Tenancy
Your hardware
Data path
No egress
Models
Shipped weights
Telephony
Your carriers
Ops
Your team + ours

Typical lead time: 8–16 weeks

Every deployment starts with a written architecture decision record and a runbook. Scoping is done with an engineer, in writing. Request an architecture review

07 / The company

Singapore · Company

A focused company, not a launch.

Aldaria is an independent voice infrastructure company. We build the call path, the agent and the operating layer around them, so the whole system has one accountable owner.

Founded1999
Domainaldaria.com · 2001
JurisdictionsSingapore · Panama · Hong Kong · China
Languages1
Availability target99.9%
Contracting entityAldaria

Jurisdiction names are public. Customer contracts are with Aldaria. Public contact details, when supplied, are shown on the contact page.

Singapore

Panama

Hong Kong

China

One operating group. Jurisdiction names are published here; the rest of the legal record stays private.

The company

Start a conversation

Bring us the call.

Tell us what the call has to do. We will tell you what it takes to run it.

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