Aira TechnologiesWebsite
Marketing Partner for AI & ML Companies
Technical content that ships at the pace your product does.
Your product moves weekly. Your competitors ship benchmark papers monthly. Your content team writes one blog post a quarter. Triaza builds the content operations that match AI product velocity, with writers who actually understand transformers, RAG, evals, and inference.
Technical writers on staff
Weekly publishing cadence
Works with your engineering team
AI WorkSwipe
Book an Executive Briefing
30 minutes. Your content roadmap, our audit. No pitch deck.
Request Briefingor send us your details
No long contracts. Built for marketing leaders at AI & ML companies.
Thought leadership moves AI buyers. If you can actually ship it.
73%of B2B decision-makers trust thought leadership more than marketing materialsEdelman + LinkedIn 2024 B2B Thought Leadership Impact Report (n=3,484)
75%say thought leadership prompts them to research vendors they weren't consideringSame source
60%say thought leadership makes them willing to pay a premiumSame source
Your buyers aren't reading generic B2B content. The 2024 Edelman + LinkedIn study of 3,484 decision-makers confirmed what AI CMOs already know: thought leadership moves enterprise buyers who aren't even shopping yet. The problem is producing it. Your product ships a new capability every sprint, your content team writes one blog post per quarter, and competitors shipping benchmark papers are eating your pipeline. Triaza builds the content operations that close that gap, with writers who read papers, understand your evals, and publish at your product's cadence.
How we operate
Technical writing plus content ops, at product velocity.
Technical Writing
Writers fluent in AI/ML concepts, not learning on your dime.
Our writers come from engineering backgrounds or have years writing for AI/ML companies. We read your papers, sit in on demos, and write like someone who actually understands what your model does. Fewer revision rounds, faster ship dates, fewer "well, actually" comments from your CTO.
Content Operations
A publishing cadence that matches your product cadence.
Editorial calendar, production pipeline, distribution, and measurement, all run for you. When engineering ships a capability, we have the blog post, the sales one-pager, and the LinkedIn thread ready to go. No bottlenecks, no "waiting on content."
Why Triaza
Built for marketing leaders at AI & ML companies.
We ship at your cadence. We write at your technical level. We integrate with your engineering team.
1
Technical fluency
Our writers understand the difference between RAG, fine-tuning, and prompt engineering, and they know when to explain those differences and when to assume the reader already gets it.
2
Weekly publishing cadence
Blog posts, technical docs, sales content, LinkedIn threads, case studies. Built to match AI product release cycles, not quarterly content calendars.
3
Full marketing stack
Content is the engine, but it runs inside your site, your SEO plan, and your CRM. One team for all of it, instead of stitching three vendors who don't talk.
4
Month-to-month, no long contracts
We earn the work every month. No annual lock-in.
Three ways to scale AI content. Only one is built for AI companies.
In-house content team
One writer wearing every hat
- One writer can't cover full product velocity
- Technical writer hiring takes 6+ months
- No content-ops systems; scaling means headcount
- Measurement lives in someone's spreadsheet
Generic B2B agency
Generalist writers on an AI account
- "AI" on the pitch deck, no AI in the portfolio
- 3 revision rounds to get technical details right
- Treats you like a typical SaaS client
- No integration with your engineering team
Recommended
Triaza
Technical content at product velocity
- Writers fluent in AI/ML concepts
- Weekly publishing cadence
- Content operations + site + SEO in one stack
- Month-to-month, no long contracts
How we engage
Four weeks to your first shipped content. Compounding returns after that.
01
Audit
Week 1
Content audit. Competitive benchmarking. Editorial calendar gaps. Measurement review. Written assessment even if we don't work together.
02
Build
Weeks 2–3
Editorial calendar built. Production pipeline stood up. Measurement dashboards live. Ready to ship.
03
Launch
Week 4
First content batch shipped: typically 2–3 blog posts, 1 technical deep-dive, distribution plan live.
04
Scale
Week 5+
Weekly publishing cadence. Monthly reporting. Content ops compounds. Traffic and pipeline grow without adding headcount.
FAQ
Frequently asked questions
First shipped content in week 4. Weekly cadence from week 5+. Real organic-traffic growth and pipeline-influenced outcomes typically compound over 3–6 months.
We hire from engineering or AI-industry backgrounds. New writers go through a 2-week onboarding on your product specifically. If a revision round comes back with "did they even read the paper?" feedback, that writer doesn't stay on your account.
Embedded Slack channel, weekly 30-min sync with a product engineer, async access to papers and documentation. We fit into your engineering's existing workflow, not the other way around.
Usually complement. Our work is content ops and production at cadence; your in-house writer becomes a senior editor or strategist for the program. We build the system around them.
Pipeline-influenced attribution (content-touched opportunities), organic traffic growth, sales-enablement usage. Monthly reports to your exec team.
Flat monthly rates built for AI/ML companies with $3M–$50M ARR. Lower than an enterprise agency retainer, higher than a single senior hire, but significantly more output than either.
Primarily growth-stage (post-PMF). For pre-PMF companies, the Startups industry page is a better fit. The needs are different.
Ready to publish at product velocity?
30 minutes. Your content roadmap, our audit. No pitch deck.
Book Your Executive Briefing
Request Briefingor send us your details
Built for marketing leaders at AI & ML companies.