GeoGizmodo Blog
Insights, stories, and innovations from the team building AI for defense, infrastructure, and federal contracting.
Featured Article
We Won an Air Force SBIR. Then SAM.gov Nearly Killed Our Momentum.
How a terrain intelligence company accidentally built an AI tool for federal contracting
We built GovRanker out of frustration. After winning a SBIR Phase 1 with the U.S. Air Force, we were spending 5–8 hours a week just searching SAM.gov for the next opportunity. So we built an AI that does it in 15 minutes — scanning, scoring, ranking, and reading every attachment so you don't have to.
GovRanker
Federal Contracting
AI Tools
SBIR
More Articles
AI & Defense
Exploring how distributed AI architectures tackle complex, real-world defense and industrial problems.
Edge Computing
How GeoGizmodo deploys machine learning in environments where connectivity and compute are limited.
SBIR Journey
The full story of how we went from a technology concept to winning a U.S. Air Force Phase 1 award.
News & Events
News · Jan 2025
GeoGizmodo Live on the TradewindAI Marketplace
Our AI-driven predictive maintenance solutions are now available on the DoD CDAO TradewindAI platform — connecting us directly with government agencies and defense stakeholders.
Event · Feb 2026
Beyond the Wrench: How AI is Giving Maintenance Teams 'X-Ray Vision'
Alex Zare, M.S., AI & Full Stack Engineer at GeoGizmodo, speaks on how AI is revolutionizing predictive maintenance and giving teams unprecedented visibility into equipment health.
Environment & AI
Can AI Save the Salmon? Protecting the Skagit River
How FracAdapt's physics-informed AI prevents ecological damage at hydroelectric dams by predicting turbine failures 36 hours in advance.
© 2026 GeoGizmodo LLC | All Rights Reserved
Patent Pending | SBIR Phase 1 Award Winner
¹ Performance claims are based on internal testing and early SBIR Phase 1 data. Actual results may vary and are not guaranteed.
² Patent-pending status refers to a U.S. Provisional Application filed March 2026. Issuance is not guaranteed.
Featured Article
We Won an Air Force SBIR. Then SAM.gov Nearly Killed Our Momentum.
How a terrain intelligence company accidentally built an AI tool for federal contracting
By Aneesh Hariharan, Founder — GeoGizmodo & GovRanker

Last year, my team at GeoGizmodo won a SBIR Phase 1 with the U.S. Air Force. We build predictive maintenance and terrain intelligence systems using machine learning. It was a huge milestone for us as a small business.
Then came the hard part: finding the next opportunity.
The SAM.gov Grind
If you've ever tried to find federal contracts on SAM.gov, you know the drill. You log in, run a search, get 400 results. Half are expired. A quarter don't match your NAICS code. The rest require you to download a 47-page SOW just to figure out if it's even worth your time.
We were spending 5–8 hours a week just looking for opportunities. Not writing proposals. Not doing technical work. Just searching, filtering, reading, and deciding "nope, not a fit." For a small team, that's brutal.
The Breaking Point
One night I was reading through my third SOW of the evening — a 60-page document for what turned out to be a janitorial services contract that had nothing to do with us. It showed up in our search because it mentioned "predictive maintenance" once in the context of HVAC systems.
That was the moment I thought: we literally build AI systems for a living. Why are we doing this manually?
So We Built Something
What started as an internal tool quickly became something bigger. We called it GovRanker. The idea was simple: what if an AI could do what we were doing manually, but in minutes instead of hours?
Enter your company website.
The AI reads your site, understands your capabilities, identifies your NAICS codes, and builds a profile of what you're good at.
It scans SAM.gov daily.
Every new opportunity gets pulled in automatically. No more manual searching.
It scores and ranks everything against your profile.
NAICS alignment, keyword relevance, set-aside eligibility, agency fit, deadline urgency, and more. You get the 20 that actually matter, ranked by fit.
It reads the attachments.
SOWs, amendments, RFPs, pricing sheets. The AI downloads and reads them all so you don't have to open a single PDF.
It gives you a Go/No-Go recommendation.
With reasoning — not just a score, but an explanation of why something is or isn't a fit.
It drafts a proposal outline.
Technical volume and cost volume structure, ready for you to build on.
What Does Terrain Intelligence Have to Do With This?
Nothing and everything. GeoGizmodo's core is geospatial AI and predictive analytics. We process satellite imagery, build ML models for terrain classification, and predict equipment failures for military vehicles. But the skills that let us build those systems — processing large datasets, building scoring algorithms, training models to find patterns in noise — are exactly what you need to solve the SAM.gov problem. Federal opportunity data is just another dataset. Matching companies to contracts is just another classification problem.
This is our first product launch. It came from our own pain, built with the same AI capabilities we use for defense work.
The Numbers
~15 min
Searching for opportunities — Down from 5–8 hrs/week
4+
Missed opportunities identified — In the first month
3x
Increase in proposals submitted
Why We're Sharing It
We built this for ourselves, but we realized every small business doing federal work has the same problem. The big primes have dedicated BD teams with 10 people scanning SAM.gov all day. Small businesses have one person doing it between actual project work. That's not a fair fight. We think AI can level it.
Try It Yourself
If your team spends too much time on SAM.gov and not enough time writing winning proposals, give it a look. Enter your company URL, let the AI do its thing, and see what it finds.
Two free searches, no credit card required.
See It in Action
â–¶ Watch the 3-minute demo on YouTube
Aneesh Hariharan is the founder of GeoGizmodo, a terrain intelligence and predictive analytics company, and GovRanker, an AI-powered federal opportunity discovery tool.
LinkedIn Profile | hello@geogizmodo.ai
Featured Article
Can AI Save the Salmon? Protecting the Skagit River with Physics-Informed Intelligence
How FracAdapt's physics-informed AI prevents ecological damage at hydroelectric dams
By the GeoGizmodo Editorial Team

In the rugged heart of the North Cascades, Ross Dam stands as a monument to engineering and a primary source of clean energy for the Pacific Northwest. But beneath the hum of its massive turbines lies a delicate ecological balance.
The Hidden Crisis: The 'Flow Crash'
Most people assume the danger to salmon at dams is the physical barrier itself. However, downstream from Ross Dam, a more invisible threat exists: Downramping. When a turbine bearing spikes in heat or a blade vibrates out of tolerance, the system triggers a 'Hard Stop.' The river level downstream crashes within minutes, leaving juvenile fry stranded and nests dewatered — mortality events that can decimate an entire generation of salmon.
Moving from Reaction to Foresight with FracAdapt
This is where FracAdapt, GeoGizmodo's flagship AI platform, changes the narrative. Built on a foundation of physics-informed AI and validated by SBIR defense awards, FracAdapt moves the needle from 'reacting to failure' to 'foreseeing it.'
The 36-Hour Window
FracAdapt doesn't wait for a sensor to hit a 'danger zone.' Our physics engine crunches real-time data from existing SCADA probes, using material science and degradation models to 'sniff out' anomalies like blade shear or bearing fatigue thirty-six hours before they trigger a shutdown.
Agentic Mitigation
When FracAdapt identifies a risk, its AI Agentcores go to work. Instead of a simple alarm, the system drafts a 'Proactive Transition Plan.' It calculates the exact rate to ramp up auxiliary spillways to compensate for the failing unit, ensuring that the river's pulse never skips a beat.
Automated Conservation
The system can even auto-schedule drone fly-bys to monitor the downstream reach, providing operators with high-definition visual confirmation that water levels are remaining within the strict 1-inch-per-hour federal safety limits.
36 Hours
Predictive Window
FracAdapt identifies risks before they trigger shutdowns
<15%
Mortality Events
Preventing flow crashes that kill salmon populations
30%
Downtime Reduction
Planned repairs instead of emergency shutdowns
Code as a Conservation Tool
By implementing FracAdapt, critical infrastructure becomes a partner to the environment, not an adversary. We prevent the 'Flow Crash' that kills fish, catch erosion early for planned repairs instead of million-dollar emergencies, and protect utilities from massive fines associated with dewatering events.
At GeoGizmodo, we aren't just saving machinery; we are protecting a legacy. The salmon of the Skagit River have enough hurdles to clear — a mechanical glitch shouldn't be one of them. Through the power of Physics-Informed AI, we are ensuring that the North Cascades remain powered, and its rivers remain full of life.
This article was written by the GeoGizmodo Editorial Team. GeoGizmodo builds physics-informed AI and predictive analytics systems for defense, infrastructure, and environmental applications.