Nunar
The AI Process Automation Platform for Modern Freight Teams
Nunar launched on May 1, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Nunar uses AI Agents to automate complex logistics workflows like RFQ ingestion, customs clearance, and debit note reconciliation. It integrates directly with your existing TMS and ERP, delivering 99% data accuracy and 5x faster productivity for UAE and GCC freight teams.
Automate RFQ ingestion, customs clearance, and debit note reconciliation for freight forwarders and logistics teams. 50+ workflows, 4-6× productivity, 99% accuracy.
Most logistics work happens before ERP or Excel databases — inside emails, PDFs, RFQs, debit notes, invoices, spreadsheets, and scanned documents. This invisible, human-dependent stage becomes the real bottleneck — creating delays, errors, and rework before automation even begins. Despite years of ERP and system investments, logistics operations still depend heavily on unstructured documents. Information arrives through emails, PDFs, Excel sheets, RFQs, WhatsApp messages, and scanned paperwork. Teams manually extract meaning from these documents before data can enter any system. Until documents are understood and structured correctly, no system can truly move faster. From raw inputs to…from nunariq.com
Does a similar job
all alternatives →

Robotic Data Automation (RDA)2021 · roboticdata.ai · ▲67Automate IT data prep & integration with new software bots


ThickDot Agent2025 · agent.thickdot.com · ▲14Ai agent automates end-to-end inventory receiving process
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com