Why one LLM isn't enough: routing prompts across models without losing control
Model quality changes every month. Here's how we design routing, fallbacks and cost caps so your product never depends on a single AI vendor.
We run a news and content network with 3–5 million monthly readers. Every tool, workflow and SEO tactic we offer has been tested on our own audience first.

Built with the technology trusted by the world's best product teams
Headless CMS and newsroom tools built for speed and scale.
Top Stories, Discover and evergreen search traffic.
Fast pages without sacrificing ad revenue.
Summaries, translations and headline testing with human review.
Push-driven apps with offline reading.
Ads, subscriptions, paywalls and sponsored content.

A fast, structured publishing stack, programmatic SEO and an editorial workflow that turns trending topics into ranking pages within hours — without paying for traffic.
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Through a content and technology partnership, we brought our publishing stack, SEO playbook and distribution to a respected regional news brand — built for budget phones and fast breaking-news turnaround.
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A backend service that pulls privacy-friendly analytics from dozens of websites into one live command centre — realtime visitors, rolling 24-hour stats, country-wise traffic blueprints and uptime checks, plus a browser extension for numbers at a glance.
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A publishing backend that takes one article, rewrites it with AI into unique versions, and pushes it to groups of WordPress sites in parallel — with live progress, history and per-site health tests.
Read case studySix phases, each with a clear output you sign off on — so budget, scope and quality stay visible from day one to launch and beyond.
Workshops to pin down users, outcomes and constraints. You get a scoped backlog, risks and a fixed or ranged estimate.
User flows, wireframes and a clickable prototype tested with real users before a line of production code.
Stack, data model, integrations and security decided up front — documented so any engineer can pick it up.
Two-week sprints with a working demo every sprint. Shared board, shared repo, no black boxes.
Automated and manual testing, performance and security checks, then a staged rollout with monitoring.
Post-launch SLAs, analytics reviews and a roadmap for the next release — we stay until it's working.
Behind every review is a business problem solved — a funnel leaking money, a site too slow to rank, a team drowning in manual work. Here's how clients describe working with us. Names are withheld to respect client confidentiality.
Spend went up only when the numbers justified it. Tracking was rebuilt properly before we scaled, and the weekly reviews were blunt and genuinely useful. We grew four times over without losing control of margins.
Read the case studyThe publishing stack and SEO playbook changed how quickly our stories get found. The team understood newsroom pressure, not just code, and breaking news now goes live in minutes.
Read the case studyThey pushed back on features that didn't matter and shipped the ones that did. The routing layer they built saved us from betting everything on a single AI vendor.
Read the case studyOur team used to open dozens of analytics tabs every morning. Now we see every site, live, in one place — and the browser extension is the first thing our editors check.
Read the case studyThe AI publishing engine replaced hours of copy-pasting. Live progress for every job means we always know exactly what went out, and where.
Read the case studyThe website shows our work beautifully on phones, and enquiries come straight to us instead of through marketplaces that take a cut.
Read the case studyQuick answers to what founders and product leaders usually ask us first.
Yes — with URL parity, redirect maps and staged launches, monitored in Search Console.
Yes, it's a core part of our own traffic strategy.
Yes. As with the regional news brand in our portfolio, we can bring technology, SEO and distribution together in one partnership.
Yes — AI for drafts, summaries and translations, always with editors in the loop.
Field notes from building AI products, engineering publishing backends and running growth for our own brands and our clients'.

Model quality changes every month. Here's how we design routing, fallbacks and cost caps so your product never depends on a single AI vendor.

The technical SEO, publishing cadence and internal-linking habits behind a content network with millions of monthly readers.

A practical framework for scaling ad budgets on real numbers — contribution margin, payback period and creative fatigue.
Tell us what you're building. You'll get a reply from a senior engineer — not a sales script — within one business day, with a suggested approach and a ballpark.
Mon–Sat, 9:00 am – 8:00 pm IST
4th Floor, Cyber Towers,
HITEC City, Madhapur,
Hyderabad, Telangana 500081
MG Road, Labbipet,
Vijayawada,
Andhra Pradesh 520010
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IST, GST, GMT and EST
— Mon to Sat, 9am–8pm IST