Intelligence is credible
only when it is measurable.

We design neural architectures, training systems, and physical AI that perform under real-world constraints. From model innovation to AE Guardian hardware, we build across the full intelligence lifecycle.

Research track

Post-transformer neural systems

Efficiency

Quantization and energy-aware inference

Physical AI

Guardian neural graph node

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ଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡଓଡ଼ିଆગુજરાતીമലയാളംঅসমীয়াاردوSindhiहिंदीಕನ್ನಡ
14+Indian languagesincl. code-switch
04Enterprise productsin production
02Deployment modescloud / on-prem
3Model familiesspeech, language, synthesis

One system, not three services.

Most voice products chain together someone else's speech recognition, someone else's language model, and someone else's synthesis. Ours are trained by us, and the Emotion Engine runs across all three stages — affect and intent are carried from what a caller says through to how the system replies, rather than added at the end.

01LISTEN

Acoustic understanding

Code-switch and accent-robust understanding of noisy real-world channels. Speaker-aware, with calibrated confidence and deployment-grade observability.

accent-robust · calibrated

02REASON

Conversational reasoning

Multilingual reasoning with code-switch robustness, and domain adaptors for clinical, financial, and enterprise dialogue — beyond baseline transformer assumptions.

multilingual · domain adaptors

03SPEAK

Prosody and voice

Natural Indian prosody with controllable rhythm and emphasis. Optimised for production latency, energy-aware inference, and regional voice fidelity.

controllable prosody · low latency

← EMOTION ENGINE v2 →affect & intent, carried across every stage

Language coverage

  • Hindi
  • Kannada
  • Tamil
  • Telugu
  • Marathi
  • Hinglish
  • Bengali
  • Punjabi
  • Odia
  • Gujarati
  • Malayalam
  • Assamese
  • Urdu
  • Sindhi

Current focus: beyond-transformer routes, low-resource multilingual training, quantization frontiers, and efficient on-prem inference at scale. Where we publish a result, the dataset and its limitations are published with it.

Explore the technology

AE Guardian

Desktop intelligence node for clinical environments

Guardian is where physical-world conversation capture meets neural inference. It anchors our research in real clinical workflows — consented capture, documentation that clinicians sign off, and quality signals a human reads before anyone acts on them.

Capture
Hardware capture and NABH-grade documentation pipeline
Inference
On-prem neural inference with zero external data egress
Signals
Quality signals surfaced for human review, never acted on alone
Explore physical AI systems
AE Guardian clinical AI hardware device

One platform for all customer engagement.

Fonix.AI brings together voice, chatbots, campaigns, and multi-channel automation — powered by our proprietary models, trained on Indian languages, deployed in days.

Visit Fonix.AI
VoiceInbound and outbound AI agents
ChatOmnichannel chatbots
CampaignsAutomation and scheduling
AnalyticsReal-time call and funnel data
Languages14+ Indian languages

Three ways to deploy. One engine.

01Customer engagement

Fonix.AI

For customer-facing teams: answer and make calls, run chatbots, and automate campaigns in 14+ Indian languages. Live in days, not months.

  • Inbound & outbound voice agents
  • WhatsApp, web & social chatbots
  • Campaign automation & analytics
02Clinical intelligence

AE Guardian

For hospitals: a plug-in device that turns every doctor-patient consultation into structured, audit-ready clinical documentation.

  • Consent-gated consultation capture
  • Notes drafted for clinician sign-off
  • Zero cloud, runs fully in-building

Compliant by architecture, not by configuration.

Because we design, train, and deploy the models ourselves and run them on your premises, compliance is a property of the deployment rather than a setting inside it.

01

DPDP Act 2023

Health and personal data must stay in India. On-premise deployment means compliant by default, no configuration required.

02

RBI data localisation

Borrower voice data cannot leave your organisation. AntEngage deploys inside your infrastructure.

03

HIPAA

Your AI runs inside your infrastructure, whether it's our own models or a third-party model you prefer. Medical data never touches an external cloud.

04

NABH

Clinical communication quality documentation: protocol adherence and audit trails, automated.

Notice

The DPDP Schedule sets penalties up to ₹250 Cr for inadequate security safeguards. What the Act actually requires.

Where the systems run.

01

Healthcare

  • Clinic chains & hospital networks
  • NABH compliance automation
  • Diagnostic lab patient communication
02

EdTech

  • Coaching admissions outreach
  • Student counselling at scale
  • Parent communication campaigns
03

NBFC / Fintech

  • Collections & loan follow-ups
  • EMI reminders in local languages
  • RBI-compliant voice communication
04

Real estate

  • Lead qualification calls
  • Site visit booking automation
  • Multilingual buyer outreach
05

D2C / E-commerce

  • Order support & returns
  • Campaign calls for festive season
  • Multilingual customer service

Work with us, or read what we publish.

We are glad to talk to teams evaluating on-premise deployment, and to researchers using our datasets. Fonix.AI handles platform trials and pricing.