# Zingaro AI — AI-native engineering: agents, models, voice, vision, inference, deployment

Canonical: https://zingaro.ai
Source: Zingaro AI (Zingaro AI Private Limited)

> AI-native services company for the United States and the Middle East. Agentic AI, custom LLM training, speech and vision models, inference engineering, enterprise and sovereign deployment, AI products and managed operations. We build it, train it and run it.

Every kind of AI. Built, trained and run. Agentic systems, custom LLMs, speech and vision models, inference engineering, enterprise deployment and the products on top. One engineering team, from the model weights to the production line.

## What AI-native services means

An AI-native services company does the work instead of selling you a tool to do it. Agents are the workforce. People are on oversight. You pay for the outcome, delivered into the system you already use.

## Facts

- Trading name: Zingaro AI (https://zingaro.ai)
- Legal entity: Zingaro AI Private Limited (https://zingaro.ai/about)
- What Zingaro AI is: An AI-native services company: it builds the agents, trains the models, engineers the inference and runs the systems, wherever the data has to sit. (https://zingaro.ai)
- Where clients are: The United States and the Middle East. (https://zingaro.ai/about)
- Languages of the site: English at zingaro.ai and Arabic at zingaro.ai/ar, saying the same things; the Arabic pages carry hreflang to their English twins. (https://zingaro.ai/ar)
- Where the engineering team is: India, where the company also operates its own phone numbers and SIP trunks. (https://zingaro.ai/about)
- Products built and operated: RingTrunk (https://ringtrunk.com) and CallWhiz AI (https://callwhiz.ai). (https://zingaro.ai/products)
- When a pilot starts: Within 5 working days of agreed scope. (https://zingaro.ai/contact)
- How long a pilot runs: 4 to 6 weeks, fixed scope, fixed fee. (https://zingaro.ai/contact)
- How builds are billed: On milestones, each invoiced only when it is accepted. Nothing upfront. (https://zingaro.ai/pricing)
- Seat licences: None. No minimum users and no annual lock-in. (https://zingaro.ai/pricing)
- Published prices: None. Work is scoped on a call and quoted after. (https://zingaro.ai/pricing)
- Where systems can run: On the client's own servers (air-gapped where required), in the client's private cloud account, or managed by Zingaro AI. (https://zingaro.ai/deployment)
- Languages: English, Arabic dialects and the common Indian languages out of the box; other languages and dialects trained on the client's own recordings. (https://zingaro.ai/models)
- Contact: contact@zingaro.ai for anything, sales@zingaro.ai for partnerships. (https://zingaro.ai/contact)
- Not published: Customer names, customer counts, ratings, revenue, funding, founding date, team size, and any latency or accuracy figure. None of these are stated anywhere until they have been measured or confirmed. (https://zingaro.ai/about)

## Capabilities

### Agentic AI: Systems that plan, use tools and finish the job.

- [Agentic AI development](https://zingaro.ai/services/agentic-ai): Autonomous and multi-agent systems that plan, call tools, check their own work and finish the job.
- [AI workflow automation](https://zingaro.ai/services/ai-automation): The repetitive steps between your systems, run by agents with people on the queue.
- [Conversational AI and copilots](https://zingaro.ai/services/conversational-ai): Assistants and copilots inside your tools, grounded in your data, in your customers’ languages.

### Models: Language, speech and vision models trained on your data.

- [Custom LLM training and fine-tuning](https://zingaro.ai/services/llm-training): Domain models fine-tuned, post-trained and distilled on your data, on weights you own.
- [Custom ASR and TTS training](https://zingaro.ai/services/speech-models): Speech-to-text and text-to-speech trained on your accents, dialects and line quality, plus real-time speech-to-speech.
- [Computer vision and multimodal AI](https://zingaro.ai/services/computer-vision): Detection, segmentation, video analytics and vision-language models, from the camera to the edge.
- [Data, labelling and synthetic data](https://zingaro.ai/services/data-engineering): Datasets, annotation, transcription and synthetic data pipelines, with evaluation sets that reflect production.
- [Evals, red-teaming and guardrails](https://zingaro.ai/services/evals-guardrails): Know whether it works before you ship, and keep it working after: evaluation, safety and observability.

### Inference and infrastructure: Serving that is fast, cheap and inside your boundary.

- [Inference engineering and optimisation](https://zingaro.ai/services/inference-engineering): Serving stacks tuned for latency and cost: quantisation, speculative decoding, batching, caching, GPU planning.
- [On-device and edge AI](https://zingaro.ai/services/on-device-ai): Small language, speech and vision models running on phones, laptops and edge hardware, with no cloud in the loop.
- [Enterprise and sovereign AI deployment](https://zingaro.ai/services/enterprise-deployment): On-premise, air-gapped, private cloud and in-country deployment with MLOps, monitoring and retraining.

### Products: AI-native applications, shipped and maintained.

- [AI product and platform development](https://zingaro.ai/services/ai-product-development): AI-native web, mobile and API products, built by a team that ships and runs its own.
- [Voice agent development](https://zingaro.ai/services/voice-agents): Inbound and outbound voice agents on our own platform and telephony, in your customers’ languages.
- [Knowledge systems, RAG and enterprise search](https://zingaro.ai/services/knowledge-rag): Answers from your own documents and systems, with the source shown and permissions respected.
- [Document AI and intelligent processing](https://zingaro.ai/services/document-ai): Invoices, claims, contracts and forms read, checked and filed into your systems, with uncertain fields flagged.

### Strategy and operations: Knowing what to build, then running it.

- [AI strategy and transformation](https://zingaro.ai/services/ai-strategy): Find the work worth doing with AI, prove it in weeks, and know what to build versus buy.
- [Managed AI operations](https://zingaro.ai/services/managed-ai): We run the systems, hold the review queue and send the weekly report. You see the work, not the tool.
- [Arabic-first AI](https://zingaro.ai/services/arabic-ai): Speech, language and agents for Gulf and Najdi Arabic, built and evaluated with native speakers.

## What is current in AI, and what we do with it

- Agentic systems: Models that plan, call tools and finish multi-step jobs. Ours: Agents with MCP tool access, checkers and human hand-off, in production.
- Computer-use agents: Agents that operate software through the screen. Ours: For legacy systems with no API, with strict permissions.
- Reasoning models: Models that think before answering, at a cost. Ours: Fine-tuned on your problems, routed only where they pay off.
- RL post-training: Reinforcement learning with verifiable rewards. Ours: Format, tool use and correctness trained in, not prompted.
- Small models and distillation: One job, one small model, a fraction of the cost. Ours: Distilled from large teachers, served on your hardware.
- Inference optimisation: Quantisation, speculative decoding, caching, routing. Ours: Latency and cost engineered against your own load tests.
- Real-time speech: Speech-to-speech models that listen and talk at once. Ours: Voice agents that do not talk over people, in dialects.
- Vision-language models: Ask questions of images and video in plain language. Ours: Inspection, reading and video events, on the edge.
- On-device models: Small models running on phones, laptops and NPUs, with no cloud in the loop. Ours: Distilled, quantised and shipped inside your app, with a hybrid path for the hard cases.
- Context engineering: Retrieval done properly beats bigger prompts. Ours: Structure-aware retrieval with citations and permissions.
- Evals and guardrails: Measuring quality before and after every change. Ours: Task suites from your cases, red-teaming, drift alerts.
- Synthetic data: Model-generated examples where real data is scarce. Ours: Generated, reviewed by people, never used for evaluation.
- Sovereign AI: Models and data kept in-country, on your hardware. Ours: Air-gapped and in-region deployments for regulated sectors.

## Industries

- [Healthcare](https://zingaro.ai/industries/healthcare): Front desks, prior authorisations, claims and patient follow-up, with the data kept inside.
- [Banking and insurance](https://zingaro.ai/industries/financial-services): Onboarding documents, claims, collections calls and compliance monitoring, on-prem by default.
- [Real estate](https://zingaro.ai/industries/real-estate): Lead qualification, viewings, tenant calls and document processing for brokers and developers.
- [Logistics and supply chain](https://zingaro.ai/industries/logistics): Shipment queries, proof of delivery, exception handling and document checks between systems.
- [Retail and e-commerce](https://zingaro.ai/industries/retail-ecommerce): Order calls, returns, catalogue data and customer questions answered from your own content.
- [Legal](https://zingaro.ai/industries/legal): Intake, document review, drafting from precedents and client updates, with the sources shown.
- [Government and public sector](https://zingaro.ai/industries/government): Citizen services by phone in local languages, forms processed, records kept, hosted in-country.
- [Hospitality and travel](https://zingaro.ai/industries/hospitality): Reservations, guest requests and reviews handled around the clock, in the guest’s language.

## How an engagement works

- Fixed-scope build: A pilot or a product, scoped, fixed fee, billed on milestones. Nothing upfront.
- Retained AI team: Engineers and researchers on your roadmap, month to month, inside your tools.
- Managed operations: We run the systems, priced on the volume we actually handle. It moves with your work, not your headcount.
- No seat licences, no minimum users, no annual lock-in. We quote once we have seen the work, and every milestone is invoiced only when it is accepted.

## Deployment

- On your servers: We install on machines you own, inside your network. Where the rules demand it, the system runs with no outbound connection and updates are carried in by hand. Your team keeps the keys.
- Your private cloud: We deploy into your own cloud account, in your region, under your access controls. The data stays in your account. We get the access you grant, and nothing more.
- Ours: We run it on infrastructure we operate. The right choice when the data is allowed to leave and you want the pilot running this month.

## More

- [Capabilities](https://zingaro.ai/services) · [Industries](https://zingaro.ai/industries) · [Deployment](https://zingaro.ai/deployment) · [Pricing](https://zingaro.ai/pricing) · [FAQ](https://zingaro.ai/faq) · [Comparisons](https://zingaro.ai/compare) · [Glossary](https://zingaro.ai/glossary)
- [Blog](https://zingaro.ai/blog) · [Engineering blog](https://zingaro.ai/engineering) · [llms.txt](https://zingaro.ai/llms.txt) · [llms-full.txt](https://zingaro.ai/llms-full.txt) · [OKF bundle](https://zingaro.ai/okf/index.md)
- Contact: contact@zingaro.ai