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DevPals — Header Component
DevPals — Artificial Intelligence
Artificial Intelligence

AI that learns your business,
not just your data.

Your suppliers are slow to onboard, your content is inconsistent, and your team is drowning in manual fixes. DevPals embeds production-grade AI directly into your workflows — so you scale inventory and revenue without scaling headcount.

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9yr
In business
50+
AI projects shipped
100%
Senior delivery
Supplier onboarded
2 min · AI agent · no errors
Active AI Build
AI Supplier Onboarding
Agent — TravelCo
Agentic content pipeline. Reduces manual ops and time-to-revenue significantly.
Content pipeline91%
API normalisation78%
QA & anomaly checks44%
SR
MK
AL
+2
Senior engineers only
⚡
Ops cost saved
−38%
DevPals — Core Industry Challenges
Core Industry Challenges We Address

The same structural problems,
across every platform.

Whether it's an OTA, aggregator, or wholesaler, the technical debt we encounter remains remarkably consistent across the entire travel-tech stack.

High support and operational overhead
Manual intervention at every step — from onboarding to daily ops — burns headcount without adding value.
Slow supplier onboarding process
Weeks of back-and-forth to get a single supplier live. At scale, this becomes a compounding revenue bottleneck.
Low-quality or missing content
Incomplete descriptions, wrong categories, missing amenities. Bad content kills conversions before a customer ever books.
Duplicate and inconsistent inventory
The same property listed ten times isn't ten times the inventory — it's ten times the problem for trust and margin.
Fragmented and outdated supplier APIs
Each supplier speaks a different dialect. Maintaining those integrations manually doesn't scale with growth.
Manual object and attribute mapping
Taxonomy mismatches between platforms create endless mapping work — exactly the kind AI was built to automate.
ALREADY WORKING WITHIN YOUR ECOSYSTEM
Interhome
NextPax
Roibos
Kayak
TravelgateX
BookingPal
Emerging Travel Group
GO Global Travel
BeProTravel
Cloudbeds
Sabre
Juniper Travel Technology
Pierre & Vacances
DevPals — Three Outcomes
Three outcomes. Built into every engagement.

DevPals builds AI that actually ships and actually pays off.

01

Decision Support and Optimisation

AI-powered systems that analyse data and support faster, better decisions — embedded into your products and internal tools.

02

Artificial Intelligence Automation

Automating manual, repetitive, or decision-heavy processes using AI models integrated directly into your workflows and systems.

03

Cost and Scale Improvements

Using AI to optimise latency, infrastructure usage, and operational costs — without linear growth in headcount.

DevPals builds AI that actually ships and actually pays off.

No experiments. No proof-of-concepts that never reach production.

Book a free 30-min call
DevPals — How We Work & What Clients Achieve
How We Work

While every system is different, our AI solutions deliver.

A consistent four-stage approach — from the first call to production, no handoffs.

1
Discovery and Feasibility
We identify where AI creates real value — and where it doesn't. No fluff, no speculative roadmaps that never ship.
2
Architecture and Integration Design
We design AI systems that fit into your existing platforms, data flows, and security requirements — not the other way around.
3
Build for Reliability, Scale, and Longevity
Models, pipelines, and integrations built for reliability, observability, and scale. Not prototypes. Not experiments.
4
Measurement and Optimisation
Continuous improvement based on real-world performance and business impact — clear success metrics from day one.
What Clients Achieve

Our AI engagements follow a consulting-first approach.

Outcomes your commercial team will actually feel — not just metrics on a dashboard.

Reduced operational costs
Repetitive work handled by AI — your team focuses on what drives growth, not what eats margin.
Faster decisions and lower system latency
Commercial teams act on live data and real-time signals, not last week's reports.
Scalable solutions without proportional team growth
More suppliers, more markets, more volume — without hiring to keep up.
AI becomes a lever, not a liability
Built-in monitoring and clear success metrics mean you measure ROI from day one.
Solutions Banner — DevPals
AI Readiness Checklist — DevPals
DevPals · Free Assessment

Is your platform ready for AI?

Get instant access to our 15-point AI readiness checklist for travel-tech platforms. Takes 3 minutes.

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Hi, there — let's see where you stand

Is your platform ready for AI?

Check every statement that applies, then click "See my results" at the bottom.

Progress 0 / 15
Data & infrastructure
We have a centralised, accessible data source for our inventory or operations
AI needs clean data to work from. Siloed or paper-based data is a blocker.
Our supplier or partner data arrives via APIs or structured feeds
API-driven ecosystems are where AI delivers the fastest ROI.
We deal with inconsistent data formats across different suppliers or sources
Mapping and normalisation is one of the highest-value AI use cases in travel-tech.
Operations & pain points
Our team spends significant time on manual, repetitive tasks
Automation is the most immediate AI win — and the easiest to quantify.
Onboarding a new supplier takes more than two weeks
AI supplier agents can cut this to days, freeing engineering for product work.
We have recurring pricing or availability errors that reach customers
Anomaly detection AI catches these at ingestion — before they cause complaints.
Our B2B support team handles a high volume of repetitive tickets
Up to 80% of support tickets in travel-tech are repeatable — prime for AI automation.
Content & inventory quality
We have duplicate or conflicting property listings across suppliers
AI clustering detects and resolves duplicates automatically, at any volume.
Our property descriptions or content quality is inconsistent or incomplete
Poor content costs conversions. AI can generate, enrich, and translate at scale.
Organisational readiness
Leadership is open to experimenting with AI in at least one workflow
A single high-impact use case is all it takes to prove the value internally.
We have at least one technical person who can work with an external AI partner
You don't need an AI team — you need one person who can bridge business and engineering.
We can define a clear business problem we want AI to solve
The clearer the problem, the faster and cheaper the solution. Vague AI projects fail.
We are prepared to measure the impact of an AI initiative with real metrics
AI without measurement is a cost centre. With measurement, it's a competitive advantage.
We want to scale operations without proportionally growing the team
This is the core AI value proposition — more output, same headcount.
We want AI embedded in our existing stack — not a separate tool to manage
Production-grade AI lives inside your workflows, not alongside them.

Check at least one item to see your results

0%
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DevPals — AI Solutions CTA
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No commitment. Reviewed by a
senior engineer, not a sales team.