What founders say about working with Codivox
We'd rather show measured outcomes than adjectives. Here's what clients said - and the real before-and-after numbers behind it.
What clients say
“Codivox moved fast without cutting corners. The release process finally became predictable across teams.”
Talia Nguyen
Head of Product, AtlasPulse
Read the AtlasPulse story“They kept speed high while fixing the onboarding funnel fundamentals that were blocking activation.”
Jordan Lee
Founder, ClipFlow
Read the ClipFlow story“Refactoring used to be risky for us. Codivox made it safe, measurable, and performance-positive.”
Marcus Chen
Engineering Lead, SLO
Read the SLO storyBefore and after, not adjectives
The headline metrics above are the short version. Here's the complete before-and-after for each engagement, straight from the case studies - so you can judge the delta for yourself.
AtlasPulse
How a market intelligence platform processing 2M+ reviews daily cut release time 44% and ended weekend firefighting by fixing handoffs between squads.
| Metric | Before | After | What it meant |
|---|---|---|---|
| Median time-to-release | 9.1 days | 5.1 days | 44% faster delivery-new data sources and insights reach customers in days, not weeks |
| Post-release hotfixes | 13 per month | 9 per month | 31% reduction-fewer emergency patches, more trust from enterprise customers |
| Sprint carryover | 22% | <10% | Predictable planning-leadership can commit to roadmap dates with confidence |
| Weekend incidents | 2-3 per month | 0-1 per month | Engineers get their weekends back, retention improves, data processing stays reliable |
ClipFlow
A video collaboration platform lost 82% of trial users in 48 hours. The problem wasn't the product - it was 47 decisions users had to make before publishing.
| Metric | Before | After | What it meant |
|---|---|---|---|
| Onboarding completion rate | 18% | 42% | 2.3x improvement - 480 more users per month reaching first value |
| Setup-related support tickets | 118/month | 57/month | 52% reduction - support team redirected to proactive user education |
| Time-to-first-value | 6 days | 2 days | Users see value in their first session, not their first week |
| Trial-to-paid conversion | 12% | 23% | Nearly doubled - the users who activate now convert at much higher rates |
SLO
An infrastructure monitoring platform had 8 years of code nobody dared touch. Phased modernization let them ship faster without breaking their uptime SLA.
| Metric | Before | After | What it meant |
|---|---|---|---|
| Median incident resolution time | 79 min | 49 min | 38% faster resolution - customers experience shorter outages |
| p95 API latency | 610 ms | 445 ms | 27% faster response - better experience for enterprise customers |
| Release regressions | 20 per quarter | 11 per quarter | 45% reduction - deployments are safer and more predictable |
| Test coverage (critical paths) | 40% | 78% | Engineers can refactor with confidence instead of fear |
What "results" means here
A lot of agencies show logos and adjectives. We'd rather show the method behind the numbers, so you know exactly what you're looking at.
Business outcomes, not vanity metrics
We track the numbers tied to revenue and risk - release velocity, activation, conversion, incident resolution, rewrites avoided - not story points or lines of code.
Before and after, not adjectives
Every result on this page reports the baseline we started from and where it landed, so you can judge the delta yourself instead of trusting a testimonial alone.
Attributable to a real engagement
Each figure links to the full story behind it - the problem, the approach, and the measured change - with a named client voice, not an anonymous stat.
The kind of work we get hired for
MVPs & new products
Senior-built MVPs shipped in weeks, architected to grow into v2 instead of being thrown away.
SaaS builds & upgrades
Multi-tenancy, billing, and observability done right - and MVP-to-SaaS upgrades with zero rewrites.
Modernization & rescues
Legacy refactors and vibe-coded prototypes taken to production, safely and measurably.
Web apps & automation
Production web apps and reliable AI automations that reclaim real hours every week.
About our results
How do you measure client success?
By outcomes tied to the business, not vanity metrics: release velocity, activation and conversion, incident resolution, and rewrites avoided. Every case study on this page reports before-and-after numbers, not adjectives.
Can I talk to a reference before signing?
Yes. On a scoping call we can arrange a reference conversation relevant to your project type - one of the ways to check fit before you commit.
Where can I read the full stories behind these results?
Each result links to a full success story with the problem, the approach, and the measured outcome. Start with the success stories page for the complete write-ups.
Do you have reviews on third-party platforms?
We're actively collecting verified reviews on independent platforms. In the meantime, the case studies here are real, attributable client outcomes you can dig into in full.
Are these results typical, or cherry-picked wins?
They're representative of the work we take on - shipping faster, activating more users, resolving incidents sooner - but every engagement is different. We scope conservatively and report the actual before-and-after, so the numbers reflect what happened rather than a best-case marketing figure.
Why don't you show star ratings on this page?
Star-rating markup should be backed by verified, permissioned individual reviews with ratings - and we won't fabricate that to win a rich snippet. Until we've collected genuine third-party reviews, we'd rather show real, measured outcomes you can verify in the full case studies.
Ready to ship your next product?
Tell us what you're building. Senior engineers will scope, plan, and start delivering your product with production-ready architecture - fast.