CIENCE blog

CIENCE Ranks #106 on FT Americas Fastest-Growing 2023

CIENCE placed #106 on the Financial Times Americas' Fastest-Growing Companies with 668% growth. Back-to-back FT recognition, then a complete reinvention.

Daniel Conn / / 5 min read /5 sections /Updated Mar 31, 2026
Line-engraving of a vintage race timing tower and pit lane, with three blank finish placards and an old SDR engine lifted from a car while a compact control module is installed: the FT growth record timed the old model before graph8 rebuilt the machine.
Cream line-engraving portrait of Thomas Cornelius, Founder and CEO of graph8. TC
Leader spotlight
We built one of the largest SDR operations in the country. Then we realized the model itself was the constraint. That's why we built graph8: to turn GTM into an engineering discipline, not a staffing exercise.
Thomas Cornelius Founder & CEO, graph8

Last Refreshed: March 2026: updated to reflect graph8 transformation, forward deployed engineer model, and current pricing.

CIENCE made the Financial Times' Americas Fastest-Growing list three times with 668% revenue growth, then rebuilt the company that produced it.

From Thomas Cornelius, Founder of CIENCE and graph8: "We built one of the largest SDR operations in the country. Then we realized the model itself was the constraint. That's why we built graph8: to turn GTM into an engineering discipline, not a staffing exercise."

The Financial Times, in partnership with Statista, ranked CIENCE at #106 on its fourth annual Americas' Fastest-Growing Companies list. The ranking reflected a 97% compound annual growth rate and 668% absolute revenue growth between 2018 and 2021, selected from over 7,000 companies across twenty countries.

It was our third time on the list. The previous appearances: #31 in 2020 and #95 in 2022. Back-to-back-to-back recognition from one of the world's most respected business publications. And then we changed everything.

What 668% Growth Taught Us

Three Financial Times rankings tell you a company knows how to grow. What they don't tell you is whether the growth model is sustainable.

Our 668% revenue growth came from scaling outsourced SDR teams. The formula was simple: companies needed B2B lead generation, and we provided the people to do it. Every new client meant more SDRs, more infrastructure, more overhead. Revenue grew because headcount grew. And headcount grew because demand was enormous.

But revenue growth and margin growth are different animals. By the time we earned the 2023 ranking, the math was getting harder:

  • Hiring costs scaled linearly with revenue, with no operating lift
  • Ramp times of 6-8 weeks per SDR meant new clients waited months for full production
  • Quarterly resets meant every Q1 started from nearly zero momentum
  • Client expectations were outpacing what a people-powered model could deliver. They wanted AI-speed results at SDR prices

The Financial Times measured our revenue growth at 668%. What they couldn't measure was the growing gap between how fast we were growing and how fast the market was changing.

"500% monthly increase in new sales appointments." Bryce Garoutte, Silicon Valley Insight
The timed lap and the load
THE RECORDED SPEED 668% ABSOLUTE GROWTH #106 97% 3rd FT Old model HEADCOUNT DRIVEN THE LOAD UNDER IT More hiring 6-8 week ramp Q1 reset AI-speed demand speed was real, but the engine was carrying more weight every lap
The Financial Times ranking proved speed: #106, 97% CAGR, 668% absolute growth, selected from 7,000+ companies across twenty countries. The same timing sheet also exposed the load underneath: hiring, 6-8 week ramps, quarterly resets, and a market asking for AI-speed output.

Does This Sound Familiar?

If you're running B2B sales development, you've probably felt this tension yourself. Revenue is growing, or at least holding, but the cost to generate each meeting keeps climbing. You're adding SDRs, adding tools, adding data subscriptions, and the unit economics keep getting worse.

Your go-to-market is growing, but it's not scaling. Those are different things.

Growth means more input produces more output. Scaling means the same input produces more output over time. Every successful B2B company eventually hits the moment where growth stops feeling like momentum and starts feeling like a treadmill.

That's where we were. 668% growth and a model that needed 668% more people to sustain it.


Revenue growth is easy to measure. The harder question: is your GTM model compounding or just repeating?

Get a Pipeline Diagnostic


The treadmill lap
MORE INPUT SDRs Tools Data subs Coordination Same lap GROWTH, NOT SCALE OUTPUT MATH Meetings HOLDING FLAT COST-PER-MEETING CLIMBS more motion around the loop is not the same as compounding output
Growth adds inputs. Scaling changes the ratio. When every new meeting needs more SDRs, tools, data subscriptions, and coordination, the car keeps circling the same track while cost-per-meeting climbs.

From People to Platform

CIENCE is now part of graph8, and the reinvention is the direct result of what 668% growth taught us. graph8 was built on the thesis that go-to-market should be an engineering discipline, not a staffing exercise.

The model replaces outsourced SDR teams with Forward Deployed Engineers, technical operators modeled on Palantir's approach to defense and intelligence. Palantir doesn't ship software and walk away. They embed engineers who understand both the platform and the mission. graph8's Forward Deployed Engineers for GTM work the same way.

The difference between the old CIENCE and graph8 shows up in exactly the metrics the Financial Times cares about:

  • Growth vs. scale: The old model grew by adding headcount. graph8 scales by adding systems. New campaigns deploy in days, not weeks, without proportional cost increases
  • Cost structure: An outsourced SDR team costs $5K-$15K/mo. graph8 engagements start at $5K setup + $2,499/mo managed + $499/mo platform and deliver 40-60% lower cost-per-meeting
  • Compounding returns: SDR teams reset every quarter. graph8's system learns from every interaction: which messages convert, which accounts engage, which channels perform. It gets sharper over time
  • Speed to market: New targeting segments, new campaigns, new product launches deploy in days, not the 6-8 weeks the old model required

The Forward Deployed Engineers aren't SDRs reading scripts. They're not consultants writing strategy decks. They build, deploy, and tune your revenue system and keep tuning it as your market shifts.

"They definitely supersede our internal capabilities." Candice Long, Learning Ally
The pit lane rebuild
OLD PIT STEPS Research Write Follow up Log outcome graph8 FDE OPERATED SYSTEM LEARNS NEW OUTPUT RATIO Campaigns in days 40-60% lower CPM No SDR script reading $5K + $2,499 PLUS $499/MO PLATFORM same execution standard, different machine
The reinvention kept the execution bar and changed the machine. Forward Deployed Engineers run graph8 against validated data, deploy new campaigns in days instead of 6-8 weeks, and keep the feedback loop tuning toward 40-60% lower cost-per-meeting.

Why This Matters Now

The Financial Times tracks growth. In 2026, the more important question is: growth from what?

Companies still trying to grow by adding SDRs and stacking point solutions are hitting the same ceiling we hit, just with less time to course-correct. The market has moved. AI has changed the math. The companies pulling ahead are the ones who've stopped treating GTM as a staffing problem and started treating it as an engineering problem.

CIENCE went from #31 to #95 to #106 on the Financial Times list. Each ranking represented genuine, earned revenue growth. But the model that produced that growth had a shelf life, and we were honest enough to admit it before the market forced us to.

graph8's Forward Deployed Engineers serve 2,500+ clients across 250+ industries. This is the same client base that powered three Financial Times rankings, now served by a model that actually compounds. Engagements start at $5K one-time setup + $2,499/mo managed + $499/mo platform.

The 2026 control tower
HEADCOUNT LANE SDR SDR SDR CEILING ARRIVES 2026 control tower Target Channel Message Optimize ENGINEERING DISCIPLINE COMPOUNDING BASE 2,500+CLIENTS 250+INDUSTRIES System learns growth from systems has a different ceiling than growth from staffing
The question is not whether the old model grew. It did. The 2026 question is what growth is built from. Adding SDRs and point solutions stalls at the ceiling. A system ties target, channel, message, and optimization together, then compounds across 2,500+ clients and 250+ industries.

FAQ

What was CIENCE's Financial Times ranking? CIENCE ranked #106 on the Financial Times Americas' Fastest-Growing Companies for 2023, with 668% absolute revenue growth and 97% CAGR. It was the third time CIENCE appeared on the list, following #31 in 2020 and #95 in 2022.

Why did CIENCE transform after achieving 668% growth? The growth came from scaling outsourced SDR teams, a model with linear cost increases, quarterly resets, and no compounding advantage. Under graph8, CIENCE replaced that model with Forward Deployed Engineers and AI systems that scale without proportional headcount increases.

What are Forward Deployed Engineers for GTM? Modeled on Palantir's FDE approach, graph8's Forward Deployed Engineers are technical operators who build, deploy, and continuously optimize your go-to-market system. They deliver compounding results, 40-60% lower cost-per-meeting, and campaign deployments in days instead of weeks.

Get a Free GTM Diagnostic

Here's what happens when you reach out: our Forward Deployed Engineers run a diagnostic on your current outbound motion: your targeting accuracy, your channel mix, your conversion rates at each stage. Then they show you exactly where an engineered system would outperform what you're doing today.

Whether or not you work with us, you'll walk away with a clear picture of your pipeline math.

Line-engraving of the rebuilt race car leaving the pit lane, with archived timing slips behind it and one cyan-to-violet signal line running from the new control module toward a clean finish marker.
The record becomes the rebuild

The FT ranking still matters. It timed the old model at full speed. The rebuilt model changes what happens after the checkered flag: graph8 runs the system, CIENCE delivers the outcome, and the signal keeps compounding.