Plavno AI Product Catalog

AI Infrastructure

Armada

Production AI inference, 30-75% cheaper than datacenter H100s.

The problem

Teams running LLM workloads in production default to renting the same datacenter-grade H100 clusters built for training, even though inference has completely different economics: long idle stretches between requests, and none of the training-grade interconnect that GPU tier is priced for. That mismatch shows up directly on the monthly bill.

What we built

We built Armada on GPUs priced for inference instead of training — RTX 6000, RTX 5090, RTX 4090 and H20 — behind a drop-in OpenAI-compatible API. Every model runs on vLLM or TensorRT-LLM and scales to zero between requests, so idle time costs nothing instead of costing the same as a live request.

Success number

30–75%

cheaper than datacenter H100 inference, at 142ms median latency

Built for Any team running AI/LLM workloads in production

armada-navy.vercel.app →

AI Marketing Automation

Shagl

One narrative in, nine channels out.

The problem

Plavno's own marketing team hit the wall every growing B2B company hits: publishing consistently across channels takes constant drafting, formatting and scheduling, and that output is capped by headcount. It's the first thing that slips the moment the team gets pulled onto client work.

What we built

We built an engine that turns one narrative into channel-native drafts for nine platforms in a single pass — SEO-structured with metadata, headings, FAQs and internal linking, published through each platform's official API — with a human checkpoint before anything goes live.

Success number

12 min

from one brief to published and indexed across 9 channels

Built for B2B marketing teams, agencies, content-driven brands

shagl.xyz →

Open-Source AI Models

Open Models

Open LLMs, shrunk to run cheaply, free to download.

The problem

Serving the best-performing open checkpoint usually means buying more GPU capacity than the workload actually needs, because naive quantization either costs too much accuracy to trust in production or doesn't shrink the model enough to matter.

What we built

We compress open models with Intel's AutoRound method instead of naive rounding, calibrate every checkpoint on a language-balanced sample set, and publish exactly where the accuracy cost lands — so a team can pick W4A16 for raw speed or W8A16 for near-lossless quality, with the tradeoff already measured for them.

Success number

100+

downloads in the first week, free to run, fine-tune and deploy

Built for Any team self-hosting open-source LLMs

huggingface.co/plavno →

Meeting AI

Real-Time Meeting Translation

Live captions and translated audio for meetings and conferences, in any language.

The problem

Teams running multilingual meetings and conferences had no simple way to add live translation — off-the-shelf tools didn't scale past a handful of participants, and building a custom speech pipeline for everything from 1:1 calls to thousand-listener conferences wasn't something any single vendor offered.

What we built

We built a cross-platform meeting app that turns speech into live captions and translated audio on the fly — 1:1 calls, group rooms up to 50 participants, or Conference Mode broadcasting one speaker to thousands, all joinable by QR code, calendar invite or map, with role-based access built in.

Success number

≤550ms

median translation latency across 25+ languages, up to 1,000+ listeners in Conference Mode

Built for Healthcare, education, events and webinars, customer support, media and NGOs

Case study: Real-time meeting translation →

Healthcare Voice AI

AI Medical Scribe & Voice Intake Assistant

Patient intake, appointment booking and consultations, captured and structured automatically.

The problem

A healthcare platform's intake process depended entirely on manual staff work — collecting pre-visit information, booking appointments and writing up consultation notes by hand — so intake quality varied with workload and communication style, and nothing said during a consultation ever became structured clinical data on its own.

What we built

We built a voice AI module that plugs into the existing HIMS platform without replacing it: an AI voice assistant handles patient intake and appointment booking, real-time speech-to-text and text-to-speech support live doctor-patient conversations, and everything spoken is captured as structured data that flows straight into downstream clinical workflows — reusable across clinics and specialties.

Success number

Structured intake

patient data captured and structured automatically, without replacing the underlying HIMS platform

Built for Healthcare platforms, multi-clinic operations, telehealth, digital health platforms

Case study: AI medical scribe for HIMS platforms →

Retail AI

Retail Recommendation & Forecasting Engine

Personalized discovery, and demand forecasts up to 90% accurate.

The problem

An 83-store grocery retailer carrying 9,000+ SKUs had the inventory depth to support real personalization, but no way to act on it — every shopper saw the same generic best-sellers instead of products actually relevant to them, leaving demand and revenue on the table.

What we built

We built a recommendation engine using autoencoders and neural collaborative filtering, unifying online and offline purchase history into behavioral segments, then tuned the model's weighting against live A/B results until it consistently beat both random suggestions and simple popularity ranking.

Success number

3x

higher conversion on recommended products vs. random suggestions

Built for Retail, e-commerce, multi-store chains

Case study: AI-powered retail recommendations →

FinTech AI

AI Credit Scoring & Underwriting Engine

Loan decisions in minutes, not days.

The problem

Digital lenders were stuck with fragmented borrower data, credit decisions that varied from one underwriter to the next, and slow turnaround that hurt conversion at exactly the moment a borrower is comparing offers side by side.

What we built

We built a decision intelligence platform that blends predictive risk models, business-defined rules and human review into one workflow — pulling borrower data from multiple sources and returning an approve, decline or review recommendation with the reasoning attached, not just a score.

Success number

20–30%

faster underwriting, with 10–18% more consistent risk decisions

Built for Digital lenders, banks, BNPL, microfinance

Case study: AI loan underwriting platform →

FinTech / CX AI

AI Banking & Insurance Support Agent

24/7 digital customer experience, without a night shift.

The problem

A retail bank's support team was fielding thousands of daily inquiries at an average 3.5 minutes each and only 150 calls per shift — mostly routine card, balance and product questions — while the country's 13 recognized minority language communities made consistent service even harder to staff for.

What we built

We built a conversational agent with real-time voice translation across 120 languages, OCR for document and photo recognition, and behavior-based cross-selling, automating balance checks, payments, card management and loan applications end-to-end with a clean handoff to a human for anything sensitive.

Success number

94%

cost savings on routine support tasks, with 61% faster handling time

Built for Banking, insurance, telecom

Case study: AI banking support chatbot →

Logistics AI

Logistics Visibility & Exception Agent

One view of every shipment, and an agent that handles the exceptions.

The problem

Ops teams were tracking shipments across carrier portals, inboxes, spreadsheets and phone calls that don't talk to each other, so delays surfaced only after a customer had already asked where their order was.

What we built

We built a platform that unifies shipment events and carrier updates into one view, then runs an AI agent that flags delays, route deviations and documentation gaps automatically and routes each exception to the right team or carrier before it becomes a customer-facing problem.

Success number

1 dashboard

replacing carrier portals, inboxes and spreadsheets

Built for Logistics, freight, supply chain, trade hubs

Case study: Logistics visibility platform →

Marketplace AI

Local Food Marketplace Platform

One storefront network for every local producer, with AI-assisted discovery built in.

The problem

Local food producers and regional sellers across Virginia were selling through fragmented channels — social media posts, direct messages, basic order forms — with no shared storefront, weak product discovery across seasons and categories, and no consistent way to coordinate delivery zones or fulfillment between vendors and admins.

What we built

We built a multi-vendor marketplace that gives every producer their own storefront and dashboard, unifies catalog management, ordering and fulfillment into one operational layer for admins, and uses AI-assisted discovery to keep relevant local products surfacing as the catalog grows across seasons and categories.

Success number

One platform

replacing scattered social posts, DMs and order forms for every vendor

Built for Local food producers, farmers networks, regional marketplaces, agritech

Case study: Digital marketplace for local farmers →

Healthcare AI

AI Pathology Slide Triage Platform

Every slide reviewed, urgent cases surfaced first.

The problem

Pathology labs are seeing case volume grow faster than specialist headcount, and every slide holds the same place in the queue whether it's routine or urgent — so the most time-sensitive cases wait behind everything else.

What we built

We built a platform that ingests whole-slide images, flags suspicious tissue regions with visual overlays, and ranks every case by clinical risk, so pathologists open the highest-priority slide first instead of just the next one in line.

Success number

Highest-risk first

every slide ranked and prioritized automatically

Built for Hospital pathology departments, diagnostic labs, lab networks

Case study: AI pathology slide triage →

Voice AI / Retail

AI Voice Commerce Assistant

Order status, returns and subscriptions, answered before a human picks up.

The problem

A beauty and wellness retailer's support line got flooded with the same order-status and return calls every time a campaign or seasonal promotion landed, and phone coverage outside business hours couldn't keep up with the spike.

What we built

We built a voice assistant that holds a real conversation instead of routing through a menu tree, connected directly to Shopify order, shipping and subscription data — so it resolves tracking, returns and subscription changes on the spot, and hands off refund disputes to a human with full context attached.

Success number

24/7

coverage through campaign spikes and after-hours demand

Built for DTC beauty and wellness, subscription ecommerce, seasonal retail

Case study: Voice commerce for beauty retail →

Government / Voice AI

AI Citizen Services Hotline

Resident questions answered instantly, from approved information only.

The problem

A state agency's service center fielded the same eligibility, forms and deadline questions on every call, and staff spent so much time on repetitive information requests that answer quality varied from shift to shift and wait times climbed during filing periods.

What we built

We built a voice AI that answers resident calls using only approved government content, resolving routine questions directly and escalating anything sensitive or unresolved to staff with the full call context attached, so nothing gets an inconsistent or made-up answer.

Success number

Grounded answers

from approved content only, available to residents 24/7

Built for State agencies, government hotlines, public sector service centers

Case study: AI citizen services hotline →

Live Event AI

Live Speech Translation Broadcast

One speaker, one sermon, one keynote — translated live for thousands of listeners in their own language.

The problem

Mosques, conference organizers and broadcasters needed real-time multilingual delivery for sermons, lectures and events, but building speech infrastructure in-house meant stitching together ASR, translation and text-to-speech themselves — with no guarantee it would hold up past a few hundred simultaneous listeners.

What we built

We built a low-latency pipeline that ingests speech over WebRTC, transcribes it with a Conformer-Transducer ASR, translates it in real time across 50+ language pairs, and renders natural-sounding speech back out via neural text-to-speech — plus live transcripts and auto-generated subtitles, all reachable through REST, gRPC or WebRTC.

Success number

<550ms

end-to-end translation latency at 1,000+ concurrent listeners per session, 99.9% uptime

Built for Religious and cultural events, conferences, government, education, media broadcasts

Case study: Live speech translation for broadcasts →

Video AI

AI Video Dubbing Engine

Any video, dubbed into any language, with the first words landing in under a second.

The problem

Video platforms and content teams wanted to reach audiences in new languages without waiting days for manual dubbing — and every automated attempt either lagged too far behind the original audio to feel live, or flattened the speaker's emotion into a robotic monotone.

What we built

We built a drop-in dubbing layer that streams audio through ASR, machine translation and text-to-speech over an event-driven pipeline — first words land in about 0.9 seconds with a refined line following 5-6 seconds later, original audio ducks under the dub automatically, and captions overlay karaoke-style with a hotkey to switch languages mid-stream.

Success number

0.9s

to first translated words (P95), 3,000+ concurrent listeners per session, 99.95% uptime

Built for EdTech and online courses, video podcasts, corporate L&D, accessibility, media localization

Case study: AI video dubbing for Play TV →

Speech AI

Live 1:1 Speech Translator

Two people, two languages, one conversation — translated as they speak.

The problem

Two people who don't share a language default to typing into a translation app and passing the phone back and forth, which breaks the rhythm of a real conversation — travelers, front-desk staff and cross-border teams needed something closer to a live interpreter, not a text box.

What we built

We built a real-time speech-to-speech translator for face-to-face conversations on a single shared phone: each person speaks in their own language and hears the other translated back within moments across 40 languages, with no typing and no round-trip through a human interpreter.

Success number

40 languages

spoken naturally in one live face-to-face conversation, one phone, one tap

Built for Travel and hospitality, front-desk and customer service, cross-border teams, healthcare intake

ktranslate.live →

Dev Platform

Plavno Nova — Client Project Accelerator

A ready-built module library that turns a new client project into a head start, not a blank page.

The problem

Every new client engagement was starting from zero on the same foundational pieces — auth, billing, file management, dashboards, forms — which meant paying the same setup cost in time and budget on every project before any client-specific work could begin.

What we built

We built Nova, an internal boilerplate with production-ready modules — dashboards, calendar, subscriptions, asset management, boards, orders, invoices, forms and AI tooling — that we drop into new client projects and customize from there, cutting weeks off every build and passing the savings on in lower project cost.

Success number

Weeks, not months

saved on every new client build by starting from proven, reusable modules

Built for Every new Plavno client engagement that needs a fast, reliable starting point

nova-dev.plavno.app →

The AI your competitors will spend a year building. Yours in weeks.

Pick a problem. The product for it is already running somewhere.

Three ways to start, none of them a leap of faith.

Self-serve

Guided pilot

Custom build

Tell us what you're trying to solve.