01
Custom software development
Web applications, APIs, back-end systems and integrations, built to run in production.
From US$3,000
AI product engineering
AI features that survive real users.
We design and build voice, text-to-speech, video, avatar and conversational AI features into existing products, drawing on the same engineering we run in production in EchoClone, ReVidGen and Guftagu.
- Starting point
- From US$2,500 for one production AI feature
- Typical timeline
- 3 to 8 weeks
- Engagement
- Fixed-scope build, then an optional retainer
- Speciality
- Urdu and other South Asian languages
01The problem
Why teams come to us.
Adding AI to a product is easy to demo and hard to ship. The demo works on one prompt; production needs queues for long jobs, retries when a model provider times out, cost limits per customer, moderation, and output that is correct in the languages your users actually speak.
We have solved those problems for our own products: narrations that run for hours, long-form video renders, chat that survives a dropped mobile connection, and Urdu that reads correctly to a native speaker. We bring that engineering, and those lessons, to your product.
02What we build
What you get.
Text-to-speech and voice
Narration, voice-overs and spoken interfaces, including consent-based voice cloning with verification and an audit trail.
Conversational AI
Assistants and chat grounded in your own content, with guardrails, conversation memory and a clean hand-over to a human.
Video and avatar generation
Scripted video, AI presenters, dubbing and bulk image generation connected to your content pipeline.
Urdu and regional languages
Speech and text in Urdu script, Roman Urdu and code-switched Urdu-English, checked by native speakers rather than judged by benchmark alone.
AI infrastructure
Job queues, streaming, retries, usage metering and per-customer cost limits, so a feature stays affordable as usage grows.
Evaluation and safety
Test sets, quality checks, moderation and abuse controls, documented so your compliance team and payment partners can review them.
03Proof
EchoClone, ReVidGen and Guftagu
Our own products cover long-form speech synthesis and consent-based voice cloning (EchoClone), multi-studio video and avatar generation (ReVidGen), and an Urdu-first assistant designed for weak mobile networks (Guftagu).
See the productsEchoClone · AI voice and text-to-speech
ReVidGen · AI video generation
04Process
How a project runs.
- 01
Feasibility
We test your use case against real data and current models in a short spike, then tell you plainly whether it will work, what it will cost per user and where it may fail.
- 02
Design
We choose models and providers, design the pipeline, and define what good output looks like with a test set you approve.
- 03
Build
We integrate the feature behind a flag, with monitoring, cost tracking and fallbacks for when a provider has a bad day.
- 04
Evaluate and launch
We measure quality against the test set, roll out gradually, and watch costs and errors in production.
05Technology
What we work with.
Models
- Leading LLM and speech APIs
- Open-weight models where they fit
Pipelines
- Queues
- Streaming
- Webhooks
- Object storage
Safety
- Moderation
- Consent capture
- Audit logs
- Rate limits
06Pricing
From US$2,500
for one production AI feature integrated into an existing product. A full AI product is scoped like any custom software project.
What changes the price
- Model and provider costs at your expected volume
- Languages and voices required
- The quality bar and how much evaluation it needs
- How deeply the feature touches your existing systems
07Questions
AI engineering, answered.
Can you add text-to-speech or voice cloning to our app?
Yes. We integrate speech synthesis through an API or a self-hosted model, depending on your volume, languages and privacy needs. Voice cloning ships with consent capture and verification, because payment providers and app stores now ask for it.
Do you support Urdu?
Yes, and it is where we are strongest: Urdu script, Roman Urdu and code-switched Urdu-English, for both speech and text. We check output with native speakers, not only with automated scores.
Which AI models do you use?
Whichever fits your cost, quality and privacy requirements. We are not tied to one provider, and we design integrations so a model can be swapped without rewriting your product.
How do you keep AI costs under control?
We meter usage per customer, cache where we safely can, cap long jobs and pick the model size per task. You see the projected cost per active user before we build.
Will our data be used to train AI models?
Not by us. We switch on providers' training opt-outs where they are offered, and we list every third party that touches your data before work starts.
Can you build a whole AI product, not just a feature?
Yes. We have launched four AI products of our own, from billing to support. A full product is scoped as a custom software project.
Related services
Often paired with.
06
AI training and workshops
Practical AI engineering courses and workshops for developers, creators and teams.
Fees on request
Work with us
Tell us what you are building.
Message us on WhatsApp or email a short brief. We reply within one business day with questions, a rough budget range and the next step.