Let’s Connect
AI that hears, reads and sees, in your languages, on your data
What we build
Your obligations sit in thousands of contracts nobody can search. We build NLP engines that split each contract into clauses, classify every clause type, extract up to 120 legal and business terms, and rank the least favourable terms by contract type. Counselytics, built on our engine, was acquired by Conga.
AI sovereignty: privileged contracts, the models and every output stay on your own infrastructure.
Callers who speak Urdu, or switch to English mid-sentence, get stuck in phone menus built for one language. We build voice agents on speech and language models fine-tuned for local languages and code-switching. They work out what the caller needs and resolve it inside the systems you already run.
Surveys arrive weeks late, and star ratings flatten everything. We score sentiment live from what people say, what they write and the tone they use, so you can act while the conversation is still happening. For Arla Foods, live scoring engaged 1,300+ consumers across four locations.
Inspectors can't be everywhere, so problems are found late and fixed later. We build computer vision that turns everyday smartphone and drone footage into scored, geotagged issues routed to the right team. Smart SafAI does this for the Lahore Waste Management Company, alerting supervisors on WhatsApp when high-priority waste is spotted.
Capabilities
The engineering under every engagement, from foundation models to production code that keeps working.
Speech and voice
Documents and language
Images, video and document scans
Models and engineering
Industries
Risky clauses and terms found across the whole contract portfolio.
CounselyticsAudience sentiment measured live, not weeks later in a survey.
Arla FoodsManual inspection replaced by scored, mapped issues.
LWMC, PakistanCitizens abroad guided to welfare services on WhatsApp, without queues or office visits.
Embassy of Pakistan, RiyadhHow we work
We pick the use case with the clearest return and agree how to measure it.
You get a scored shortlist and success metrics.
We start from proven foundation models and test them on your own recordings, documents or footage.
You get a working prototype.
We fine-tune for your languages and domain, or develop a custom model where that's the better fit, and benchmark against the baseline.
You get a benchmark report.
On-premise or in your cloud, with durable integrations that survive model updates and provider outages.
You get a monitored production system.
Case studies
The contract AI engine underneath was ours.
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Each visitor's message scored live, as they recorded it.
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Deployed for the Lahore Waste Management Company.
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An automated assistant that guides Pakistanis in Saudi Arabia to the help they need.
Sovereign AI
Your audio, documents and footage, and the models trained on them, stay under your control. We build for that from the first sprint.
Pipelines and models run natively on your own infrastructure, on-premise or in your cloud, with no external API calls required.
Sensitive data is redacted before storage, behind role-based access and a full audit log.
Uncertain output goes to a reviewer, never silently changed.
Delivered by a certified team, with documented process at every step.
FAQ
Yes. We build multilingual speech and language systems, including for callers and meetings that switch between Urdu and English mid-sentence. For a new language, we check the available data before committing to accuracy targets.
Yes. We deploy natively on your own infrastructure, on-premise or in your cloud, with redaction, access control and audit trails, so your audio, documents and footage stay inside your boundary.
Both. We usually start from a proven foundation model and fine-tune it on your data. Where your domain or language needs it, we develop a custom model and deploy it natively in your environment, benchmarking every option against the baseline.
Our LLM integrations are built to last: model versions are pinned, calls retry and fall back when a provider fails, outputs are validated before use, and regression tests run before any model or prompt change ships.
That's how we build it. Our systems plug into the tools your teams already use, from Zoom, MS Teams and Slack to alerts on WhatsApp.