Phase 2, Year 1 Reverse Site Visit
Award: 24C0011 | PI: Evan Thomas
Lead Organization: SweetSense Inc. (dba Virridy)
Partner Organizations: University of Colorado Boulder | Colorado State University (Open Current spin-out)
March 24, 2026












drink microbially contaminated water
threatened by water insecurity
from water management
fail Clean Water Act standards
Root cause: Diffuse watershed processes, not just point sources. Current approaches underutilized due to regulatory uncertainty, measurement challenges, and insufficient financing mechanisms.
A convergence of engineering, ML, behavioral science, environmental chemistry, hydrology, economics, and public policy
Lume platform: TLF with ML for real-time E. coli estimation. Sub-ppb optical sensitivity. No calibration needed.
Gold Standard, Verra, and Regen Registry programs. Sensor-verified outcomes link monitoring to monetization.
Colorado SB24-037 directs CDPHE to collaborate on monitoring pilots. Research-to-regulation pathway.
Convergence: Policy frameworks create demand for monitoring → Monitoring enables carbon verification → Carbon finance funds watershed restoration
Continuous water quality monitoring — for the cost of a single grab sample.
Three interchangeable optical modes: TLF (280/350nm, E. coli), Cl-A (470/680nm, algae/HABs), FDOM (365/480nm, dissolved organics). Plus turbidity and temperature.
Sampling: 30s–24h intervals. Cellular + satellite connectivity. 1-year battery on hourly sampling. Solar or wall charging. No calibration or maintenance required.
$200/month — includes device, connectivity, cloud dashboard, API, and firmware updates.
Only TLF water sensor using a Silicon Photomultiplier — no competitor uses SiPM for tryptophan-like fluorescence.
The Lume uses machine learning to learn normal conditions and trigger contamination alerts based on learned patterns rather than fixed thresholds.
US Patent 11,506,606 B2 — Bedell, Fankhauser, Sharpe, Wilson & Thomas
Time-series data from water infrastructure sensors are analyzed to classify system states and support operational decisions without manual inspection or rule-based logic.
US Patent 11,507,861 B2 — Wilson, Coyle, Thomas & Croshere
Gradient-boosted decision tree models achieving 75%+ accuracy across 0–1,000 CFU/100mL, >94% categorical accuracy with site calibration, and 7% MAPE (log-transformed).
Cross-Track Integration: NASA KSC collaboration with Daniel Yeh team — Lume Cl-A (470/680 nm) and TLF (280/350 nm) sensing for continuous monitoring of algae-based water treatment performance.
500+ coincident E. coli field samples across 8 installations | Submitted: Knopp et al. 2026
The Lume has been validated for drinking water monitoring across chlorinated and unchlorinated supplies. Binary classification at regulatory thresholds of 1 and 10 CFU/100 mL yields 91–92% overall accuracy with Cohen's kappa of 0.82–0.84.
Confusion matrices for binary classification of water quality using sensor predictions versus laboratory-observed E. coli concentrations at two regulatory thresholds.
The Lume detects chlorine residual presence in treated water supplies with 85% accuracy, distinguishing pre- and post-chlorinated samples.
Left: Predicted vs observed E. coli on log axes. Right: Binary classification of chlorine residual presence (accuracy 0.85, kappa 0.70).
Temporally structured cross-validation across the global dataset. RMSE ranged from 0.55 (training) to 0.63 log units (test), with MAPE below 22% across both splits.
Left: Global dataset cross-validation. Right: Seine River, Paris — binary classification achieving 96.8% accuracy and 94% balanced accuracy using three TLF sensors.
The Lume achieves better agreement with Colilert (R² = 0.861) than Membrane Filtration does (R² = 0.584) — on the same water samples
$200/mo SaaS • 12-month minimum • $1,200 COGS (2x recovery Year 1)
Researchers deploying the Lume sensor in natural stream environments for real-time E. coli monitoring and validation studies.
Virridy’s Lume sensors monitoring water quality for recreational swimming safety along the Seine River.
Monitoring borehole water points in arid pastoral regions. IoT sensors verify functionality and usage for carbon credit verification.
LifeStraw water purifiers monitored by Virridy sensors in classrooms across Kenya — supporting access to safe drinking water and verified carbon credits.
Three parallel tracks advancing the Lume from research instrument to accepted compliance and verification technology.
Global water quality sensor market in 2024, projected to reach $12.9B by 2033 (CAGR ~9%).
Cl-A sensors sold in US in past 10 years. Annual market ~$100M. Microbial is the next frontier.
| Sensor | Description | Setup | Est. Cost | Accuracy |
|---|---|---|---|---|
| Virridy Lume | Tryptophan sensor; ML model analysis | Single, fully integrated IoT sensor | $200/month/site | 75%+ accuracy, >94% categorical |
| Proteus Sonde | Multiparameter sonde | Requires data logger, site-specific calibration | $14K - $24K+ | +/- 10 CFU/100mL |
| Chelsea UViLux | Tryptophan, CDOM, BTEX, BOD | Not specified | ~$5,000 | 0.01 QSU sensitivity |
| YSI (Xylem) | Chlorophyll only, no tryptophan | Multiparameter sonde | $4,985+ | N/A for TLF |
| In Situ Inc. | FDOM, CDOM, Cl-A, no tryptophan | Multiparameter sonde + telemetry | ~$10,000 | N/A for TLF |
10+ projects across 12 countries — sensor-verified safe water access generating carbon credits
600K students. Gold Standard registration. 7,665 credits issued (2024), 33,911 credits (2025).
3M+ students served. Largest school-based water treatment program globally. 12,384 credits issued (2026).
Community water supply and treatment. 74,000–112,000 credits projected (2026–2030).
~$17M in credit sales contracts executed to date
| Metric | Target | Actual |
|---|---|---|
| Sensor accuracy | 90% | >94% |
| Field validations | 500 | 500+ (8 sites) |
| E. coli dataset | 10M obs | 10M+ |
| Carbon credits issued | First | 78K+ tCO2e |
| Carbon contracts | $10M | ~$17M |
| Countries | 9 | 12 |
| Lume units produced / sold | — | 200 produced, 66 sold ($711K YTD) |
| Regulatory pilots | 3 | 3 (CDPHE) |
| Publications | 35 | 39 |
| US sites | 10 | 16+ |
| Sector | Partners |
|---|---|
| Academic | University of Colorado Boulder, Colorado State University (Open Current spin-out) |
| State Government | CDPHE (Colorado Dept. of Public Health & Environment), EPA |
| Federal | NSF, NASA, USAF |
| Technology | In-Situ Inc., Veralto (Hach/OTT), Urban Sky, Blues Wireless |
| Nonprofit | Friends of the Yampa, Millennium Water Alliance |
| Utilities | Municipal water districts and wastewater utilities |
| Carbon Buyers | LDC, PetroChina Singapore, Water Environment Federation, Mortenson Construction |
| International | Netafim, British Geological Survey, City of Paris |
Convergence in practice: Partners span academic research, government regulation, private technology, nonprofit implementation, and carbon market demand — all interconnected through the Virridy platform.
2030 targets: 12 countries • 5M people • 3M credits | Revenue execution directly coupled to project sustainability
| Risk | Status | Mitigation |
|---|---|---|
| Manufacturing delays | Resolved | Supply chain diversified. Production meeting demand. |
| Sensor market evolution | Adapting | Pivoting to PFAS detection with MIT/Fluorityx partnership. |
| USDA RCPP not awarded | Pivoted | Redirected to Turkey (Netafim VM0042) and Mexico. |
| Offtake coverage | Secured | All offtake contracted through 2031. |
NSF ASCEND Engine
NSF Engine partnership alignment, convergence research integration, and co-investment in water systems innovation.
Veralto (Hach / OTT HydroMet)
In discussion — strategic partnership for distribution through Hach and OTT HydroMet channels. Market access and co-development.
Total Impact Capital
$20M carbon credit investment fund development. Bridges Outcomes Partnerships lead. Financing mechanisms for scale.
City of Boulder Utilities
Lume deployment on Boulder Creek as paying customer. ATP approval pathway via CDPHE and EPA Region 8.
NSF Convergence Accelerator — Track: Future Water Systems — Award 24C0011
virridy.com • evan.thomas@virridy.com