Devzent is open for new projects — free consultation, fixed price after discovery.See what's new
AI that does a specific job, measurably better than the status quo
We build AI into products where it earns its place: support agents grounded in your documentation, document extraction that removes data entry, forecasting that improves purchasing, AI-generated video for campaigns, and original brand songs. Every deployment ships with an evaluation set, because "it seems to work" is not a standard.
Devzent delivers ai solutions from Islamabad, for businesses across Pakistan and for clients working with us remotely from further afield. On-site discovery around Islamabad and Rawalpindi; fully remote delivery everywhere else.
Retrieval-augmented agents that answer from your documentation, product data and past tickets — with citations, so an answer can always be checked. They say "I do not know" instead of inventing.
Invoices, purchase orders, contracts and forms read and structured automatically, with a confidence threshold that routes uncertain fields to a human.
Script, voice-over, visuals and edit for product explainers, social ads and training content. Days of production compressed into hours, produced in your brand’s look and voice.
An original jingle or brand anthem, generated and then produced to release quality — multiple lengths for radio, social and in-store, with rights that are clean for commercial use.
Demand forecasts by SKU and location, dynamic pricing recommendations and churn prediction — trained on your history and back-tested before anything goes live.
Every deployment ships with a golden test set, automatic regression evaluation on model changes, PII redaction, prompt-injection defences and a per-request cost ceiling.
These ranges come from projects we instrumented. Your numbers will differ — we baseline yours during discovery so the case is arithmetic rather than a promise.
Deliverables
The routine two-thirds of tickets get answered instantly and correctly; your team handles the third that needs judgement.
60–70% deflection typical
Documents become structured records automatically, with humans reviewing only what the model is unsure about.
85% less manual keying
Video and audio production that used to take a fortnight now takes a day, so you can actually test creative.
11× faster production cycle
Model routing, caching and token budgets keep spend flat as usage grows. No surprise invoice.
Cost ceiling enforced per request
Every phase produces something you can review. Nothing is invisible until the end.
We assess candidate use cases against value, data readiness and failure tolerance — and tell you plainly which ones AI should not touch.
1 week
Assemble the knowledge base or training data and build the golden evaluation set that defines what "good" means before any model is chosen.
1–2 weeks
A working prototype benchmarked against the evaluation set, with model, prompt and retrieval strategy compared on accuracy and cost.
2–3 weeks
Guardrails, PII handling, caching, fallbacks, human-in-the-loop review queues, monitoring and cost controls.
3–6 weeks
Live accuracy tracking, drift detection, regression evaluation on every model update, and a monthly improvement cycle.
Ongoing
Chosen because we run them in production, can hire for them, and would hand them to your team without an apology.
ai
backend
frontend
data
Retrieval-augmented generation grounds every answer in your own content, responses carry citations back to the source, and the system is instructed and tested to say it does not know rather than guess. The evaluation set includes deliberately unanswerable questions, and a refusal is scored as a correct answer.
Thirty minutes, no sales deck. You will leave with a view on feasibility, an approach, and a realistic range.
No obligation · No sales deck · An engineer on the call