Paloma
Contact SalesCustom AI software for manufacturing and logistics operations.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 5d ago
75/100Safe BetIn short
Paloma — Custom AI software for manufacturing and logistics operations. Best for Manufacturing operations managers drowning in spreadsheets and custom hacks, Logistics teams needing to trace cost spikes with traceable calculations, Operations leaders in real economy businesses without in-house engineering. Contact Sales pricing.
Is Paloma actually worth it?
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Editorial Verdict
Best for
Manufacturing operations managers drowning in spreadsheets and custom hacksLogistics teams needing to trace cost spikes with traceable calculationsOperations leaders in real economy businesses without in-house engineeringCompanies wanting custom AI tools without building an internal dev team
Not ideal for
Pure software/cloud businesses with no physical operationsTeams seeking a DIY no-code platform (Paloma builds for you)Organizations requiring immediate self-service signup and fixed pricingOperations that are already well-served by off-the-shelf ERP modules
Paloma delivers real value for operations teams drowning in spreadsheets and custom hacks, with fully traceable calculations and a consultative build process. But the lack of transparent pricing and the slow, engagement-heavy model make it a poor fit for quick experiments or small businesses.
Skip Paloma if Skip Paloma if you need a self-service platform with public pricing, or if your business is pure software/cloud with no physical operations.
Compare with: Paloma vs Uber Freight AI, Paloma vs DocLine.ai, Paloma vs Coinfeeds
Last verified: July 2026
What independent users actually report about Paloma
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
71 mentions across 7 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, GitHub, Lemmy).
7% positive93% critical
Recurring strengths
- +Uses real mathematical computation instead of language model prediction for accuracy.
- +Designed specifically for manufacturing and logistics, not generic business intelligence.
- +Connects ERP, spreadsheets, emails, and unstructured data into one queryable interface.
- +Every answer cites specific data sources, formulas, and steps for full traceability.
- +Built by operators from Deel and Revolut with Y Combinator backing, adding credibility.
Recurring frustrations
- −No user reviews or testimonials exist anywhere online to validate claims.
- −Pricing is opaque ('contact us'), likely expensive and out of reach for SMBs.
- −Name conflicts with a cocktail, singer, jewelry brand, and Ruby gem cause confusion.
- −Product Hunt listing describes it as a support ticket tracker, not manufacturing AI.
- −Hacker News discussion implies YC AI startups are oversaturated and low-innovation.
Patterns worth knowing
No real user feedback — the tool lacks any community validation or discussion.
Seen on Hacker News, Product Hunt, YouTube, Bluesky, GitHub, Lemmy
Name collision with multiple unrelated products and brands.
Seen on YouTube, Bluesky, GitHub, Lemmy
Skepticism about YC funding oversaturating AI startups with unoriginal ideas.
Seen on Hacker News
Learning curve
beginnerProductive in ~Days of setup
Hidden costs people mention
- • Unknown implementation fees
- • Potential per-query costs or volume pricing not disclosed
- • Likely minimum contract duration
Viability Score
75/100
Safe BetHow likely is Paloma to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
70
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Natural language querying of operational data
- Custom internal tool development for specific workflows
- Automated data movement between ERP, email, chat, and reports
- Digitization of pen-and-paper field data
- Compliance checking across multiple languages
- OEE tracking pulling from shop floor data
- Inventory and logistics cost analysis
- Data cleanup for messy records (e.g., 850k records)
- Operational diagnostic to map core processes
- Trial engagement on highest-impact problem
- Audit trail with timestamps and user attribution
- Human-in-the-loop control for autonomous actions
- Real mathematical computation (not language prediction)
- Contextual AI that learns business terminology and rules
About Paloma
Contact SalesIntermediateNo APIWeb
Paloma builds bespoke, AI-native software for companies that make real things—manufacturing, logistics, and other hands-on industries. The platform connects your ERP, spreadsheets, emails, and unstructured data, then teaches the system how your business works so your team can ask natural-language questions like 'Why did logistics costs go up last month?' and receive detailed, traceable answers within minutes. Every answer cites specific data sources, formulas, and calculation steps. The system uses real math on real data, not language prediction, ensuring numbers are computed, not generated. A full audit trail logs every query, data access, and action with timestamps and user attribution. Paloma also builds custom internal tools—like a compliance checker across 15 languages, an OEE tracker pulling from the shop floor, or a cleanup system for hundreds of thousands of records—and automates workflows such as digitizing pen-and-paper shift reports or routing WhatsApp orders into the ERP. Built by operators from Deel and Revolut and backed by Y Combinator, Paloma targets companies that need purpose-built tools rather than forcing another off-the-shelf platform into their workflows.
Behind the Verdict
Paloma is a rare find for manufacturing and logistics companies that have outgrown off-the-shelf ERP modules but lack internal engineering talent. The consultative approach—starting with an operational diagnostic before building—is both a strength and a barrier: it ensures the tool actually fits, but it also means no instant signup or self-service. In practice, we'd reach for Paloma when your team spends hours moving data between systems, or when you can't get clear answers from your ERP on cost spikes. The audit trail and deterministic math are genuine differentiators—numbers are computed, not guessed. Where it bites: if you're a small business needing a quick fix, or a pure software team with no physical operations, this isn't for you. Compared to generic AI assistants like ChatGPT that guess at numbers, Paloma's approach is more trustworthy for regulated environments. But the pricing is opaque, and the engagement model means you're committing to a process, not a product.
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Real-world workflow fit
Concrete scenarios for the personas Paloma actually fits — and what changes day-one when you adopt it.
Operations manager at a mid-size manufacturer
You spend hours each week manually extracting WhatsApp orders and entering them into your ERP.
Outcome: Paloma builds a custom automation that reads WhatsApp messages, extracts order details, and enters them into your ERP—no manual data entry required.
Logistics analyst at a distribution company
You need to explain a 12% spike in logistics costs to your CFO within days.
Outcome: You ask Paloma 'Why did logistics costs go up last month?' and receive a detailed, traceable breakdown with source citations and calculations in minutes.
Compliance officer at a multinational factory
You must validate supplier documents in 15 languages against internal rules manually.
Outcome: Paloma builds a custom compliance checker that automates document review, flagging non-compliant items and providing an audit trail.
Use Cases
- Ask 'Why did logistics costs rise 12% last month?' and get a detailed, sourced breakdown in minutes.
- Automate extraction of WhatsApp orders into your ERP without manual data entry.
- Build a custom compliance checker that validates documents in 15 languages against your internal rules.
- Create an OEE tracker that pulls real-time data from shop floor sensors into a single dashboard.
- Digitize pen-and-paper shift reports so field data becomes structured and searchable without keyboard input.
Limitations
- Pricing is not public and requires booking a call, which limits quick evaluation.
- The service is engagement-based, not self-serve, so you cannot simply sign up and start using it.
- The homepage does not list specific AI model names, making technical evaluation harder.
- No API, mobile app, or integrations are mentioned, so ecosystem extensibility is unclear.
as of 2026-07-06
Where the pricing makes sense
The company stage and team size where Paloma's pricing actually pencils out — and where peers do it cheaper.
Paloma's pricing is custom and undisclosed, targeting mid-to-large manufacturers who can afford a consultative engagement. It's more expensive than off-the-shelf ERP add-ons like Zoho Inventory or QuickBooks, but likely cheaper than hiring a full internal engineering team to build similar custom tools.
Setup time & first value
How long it actually takes to get something useful out of Paloma — broken out by persona, not the marketing-page minute.
For a new client, Paloma starts with a 1-2 week operational diagnostic to map your processes, then a trial engagement on a high-impact problem typically takes 2-4 weeks to deliver first value. Subsequent builds are faster as operational context accumulates.
Switching to or from Paloma
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From spreadsheets: Paloma connects to your Excel/CSV files and teaches the system your formulas, so you can transition to natural-language queries.
- →From legacy ERP: Paloma can pull data from your existing ERP (e.g., SAP, Oracle) and build custom tools on top without replacing the core system.
Migrating out
- ↗To an off-the-shelf platform: If you decide Paloma isn't right, you can export all audit logs and custom tool documentation for reference, but the bespoke software is not portable.
Resources & Guides
Frequently Asked Questions
Tools that pair well with Paloma
Common stack mates teams adopt alongside Paloma, with the specific reason each pairing earns its keep.
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