An AI-architected execution platform for political, advocacy, and corporate digital advertising.
Four products sharing one data foundation. Each layer makes the next more powerful.
Platform
4 products
Bedrock · CortX · Sentry · Foundry. One reinforcing architecture.
Architecture
AI-first
Architected to benefit from AI, not retrofitted around it.
Operating model
Integrated
One system across data, intelligence, workflow, and reporting.
The platform is designed to compound with every campaign. This is how the business scales without scaling headcount.
01Thesis
From services to systems
The industry operates on spreadsheets. Powers operates on systems.
The difference is not only software. It is how operating knowledge, finance logic, monitoring, and competitive intelligence have been translated into repeatable systems.
Legacy Operators
Planning runs in spreadsheets that fracture as volume scales
Handoffs across sales, legal, ops, and finance lose context
Competitive monitoring done by hand, always behind
Finance, invoicing, and reconciliation wait on manual inputs
Institutional knowledge lives in people, not the business
Efficiency comparison
Revenue
Headcount
Powers Interactive
Canonical data foundation with unified IDs across systems
Structured workflows preserve context from intake to close
Competitive intelligence refreshed automatically
Finance runs on connected systems with automated flows
Institutional knowledge encoded in the platform itself
Efficiency comparison
Revenue
Headcount
02Platform
Technology stack
One platform. Four reinforcing layers.
Each product owns one layer of the stack. Every layer makes the next more powerful.
01Data
Bedrock
Unified data foundation. One source of truth for every product.
02Intelligence
CortX
Political intelligence graph. Context, prospects, and relationship mapping.
03Monitoring
Sentry
Competitive ad monitoring across Meta, Google, and CTV.
04Execution
Foundry
Workflow automation across sales, finance, legal, and ops.
03Stack
Proprietary intelligence
Differentiated data assets that support growth, execution, and defensibility.
Sales prep, competitive monitoring, targeting context, and a proprietary archive the team can query.
CortX
A queryable political intelligence graph powering sales prep, prospecting, and ecosystem analysis.
18.7M+ federal FEC transactions
23M+ state disbursements across 42 states
106K LinkedIn profiles in the ecosystem
250 clusters with ranked BD targets
Sentry
A competitor intelligence pipeline monitoring political ads across Meta, Google, and CTV.
Week-over-week spend tracking
Creative analysis with automated refreshes
Sales differentiation and client visibility
Manual research turned into a system
Bedrock
An internal context engine unifying campaign, operational, and financial history in one system.
Canonical IDs across systems
Historical and real-time ingestion
Surfaces bottlenecks and blind spots
Supports automation and future products
The intelligence layer reinforces itself as the platform matures, and the advantage compounds.
04Intelligence
Automation across the lifecycle
Systematized workflows from request through reporting.
AI runs in every step of the operating model, from intake through reporting.
01
Request
Structured intake and context capture.
02
Plan
Scenario modeling and budget structuring.
03
IO / Opportunity
Automated IO generation with compliance alerts.
04
Launch
Checklists and standardized handoffs.
05
Pacing
Real-time monitoring and issue detection.
06
End of Life
Automated reporting and campaign analysis.
SalesCortX enables immediate meeting prep, prospect context, and ecosystem insight.
FinanceAutomated invoicing, AI-enabled expense categorization, and one-click payment links.
LegalAutomated IO generation and compliance alerts based on platform and state requirements.
OpsEnd-to-end workflow streamlining from plan creation through pacing and reporting.
MarketingLast-touchpoint email automation and workflow-driven outbound support.
05Automation
Operating leverage
Automation translates into margin, speed, and throughput.
The platform lifts throughput, shortens cycle times, and cuts the manual work underneath each campaign.
Revenue per FTE
$2M
A high-output operating model supported by centralized systems and tighter coordination across the business.
Financial scenario modeling
200× faster
Scenario modeling moved from multi-day workstreams to roughly five-minute analysis.
Manual data entry
10× less
Automations across finance, legal, ops, sales, and marketing cut repetitive data entry sharply.
Operational examples
Faster invoicing and payment collection
Automated competitive reporting
Back-office reconciliation and financial close
Systematic workflow monitoring and improvement
Platform leverage
Absorbs additional workflows without linear headcount growth
Consistent execution as volume and complexity scale
Adjacent capabilities extend the same operating model
Scale economics superior to a labor-heavy structure
Volume scales. Headcount barely moves. That is the shape of operating leverage.
06Leverage
Strategic positioning
Modern infrastructure with operating depth.
The category is splitting. The quadrant that matters is where trusted relationships and proprietary context meet modern systems.
Systems architecture ↑
HighLowLowHigh
Operating depth & market context →
Software-first entrants
Modern tools. Limited relationships, context, and workflow history.
Powers Interactive
AI-architected systems on top of real relationships, data, and execution history.
Legacy incumbents
Relationships and history. Manual processes, tech debt, heavier cost structures.
Unique Data
Hard-earned linked data assets and an expanding proprietary archive.
Switching Costs
Institutional knowledge lives in the platform, not in people.
Compounding Loop
More campaigns and more queries make the platform smarter over time.
Cost to Replicate
Code can be copied. Data depth, workflow learnings, and relationships cannot.
07Position
Compounding flywheel
A self-improving operating loop that competitors cannot easily replicate.
Normalized data, embedded AI reasoning, and an owned workflow layer form a loop that gets sharper with every campaign.
What it requires
Normalized dataOne canonical view across campaigns, finance, ops, and reporting.
Embedded AIReasoning built directly into the operating model, not a bolt-on.
Owned workflow layerDirect control over how the business runs, not just how it reports.
The Loop
Every cycle compounds
01
Collect
Normalized data across the business
02
Detect
AI surfaces bottlenecks
03
Correct
AI generates a plan; Foundry deploys it
04
Measure
Confirms the fix, feeds the next loop
Why it compounds
Every cycle sharpens the nextEach fix becomes training data for the next detection.
Learning encoded in systemsInstitutional knowledge persists beyond individuals and cycles.
Cannot be bought off the shelfRequires all three ingredients and accumulated operating history.
Most competitors are missing at least one layer. Powers has all three, which is why the loop compounds instead of plateauing.
08Flywheel
Build economics
Years of engineering compressed into months.
A competitor starting today would need 7 election cycles of execution context to reach parity, regardless of engineering budget.
System
Traditional build
Traditional timeline
Powers actual
Savings
Bedrock (Data Platform)
$500K–$1M
12–18 months
Weeks
~90% faster
CortX (Sales Intelligence)
$300K–$500K
6–12 months
Weeks
~90% faster
Sentry (Ad Intelligence)
$200K–$400K
6–9 months
Weeks
~85% faster
Foundry (Execution OS)
$400K–$800K
12–18 months
Weeks
~90% faster
Total traditional cost
$1.4M–$2.7M · 2–4 years
Powers built the full stack in a fraction of the time and cost
The code can be rebuilt. The public data can be pulled. What cannot be backfilled is years of execution context, workflow depth, and operating intelligence.
09Economics
Automation detail
Each automation eliminates recurring labor without adding headcount.
"The big don't eat the small. The fast eat the slow."
Manual process
Powers equivalent
Time impact
Status
Build competitive spend report
Sentry automated dashboard
2–4 hours → 0
Automated
Research a prospect's vendor history
CortX natural language query
30–60 min → 30 sec
98% faster
Build campaign performance report
Automated reporting pipeline
2–4 hours → 30 sec
Automated
Reconcile revenue vs. delivery
Automated matching system
4–8 hrs/mo → 0
Automated
Track campaign pacing across platforms
Foundry pacing dashboard
1–2 hrs/day → real-time
Continuous
Resolve vendor identity across filings
Entity resolution pipeline
Manual → batch
Automated
Create media plan from request
MAXIM plan builder
1–2 hrs → structured
Streamlined
Margin expands with every campaign added. Zero incremental headcount required for scale.
10Detail
Commercial flywheel
Every campaign sharpens the platform. Smarter tools win more.
The loop connects execution directly to revenue growth. More campaigns in, better tools out, higher win rates forward.
01
Campaigns execute
via Foundry
→
02
Data accumulates
in Bedrock
→
03
Intelligence sharpens
via CortX + Sentry
→
04
Sales accelerate
better prospects
→
05
Win rates improve
more campaigns
← Loop closes: more wins feed more campaigns, which feed more data ←
Data quality compoundsEach election cycle matches and verifies more entities. The graph only gets richer.
CortX learns from useEvery sales interaction captures new patterns. The intelligence layer sharpens.
Sentry enriches dailyCreative and spend signals refined with Powers' proprietary taxonomy each cycle.
+140% WoW. New issue-focused creative detected. Shifted from candidate to policy messaging.
Platforms monitored
MetaGoogleCTV
Update frequency
Automated
Zero manual research required
MSentry
Foundry · Campaign execution OS
From request to delivery. One system, structured workflow.
A single pipeline moves every engagement through the same stages — intake, planning, launch, pacing, and close — with status visible at a glance.
Request
Intake form submitted
Account lead captures scope and goals
New
Scope clarification
AI prompts for missing context
Review
Plan
Media plan generated
Budget allocation across channels
Approved
Scenario modeling
Compare mix and reach tradeoffs
Modeling
IO / Launch
IO auto-generated
Compliance checks cleared
Ready
Creative handoff
Assets attached to structured brief
Blocked
Pacing
Delivery monitored
Spend tracking vs. target
On track
Pacing alert raised
Auto-suggests redistribution plan
Behind
End of Life
Reporting auto-drafted
Performance summary assembled
Complete
Finance reconciled
Invoices matched, payments sent
Finance
NFoundry
Bedrock · Data unification
Data normalized across every tool.
The same entity appears differently in every source. Bedrock resolves identity, reconciles conflicts, and creates one clean record the whole platform can trust.
Fragmented source records
SFRivera Media LLCacct_0042$47,200
METARivera Mediapage_8821$182,400
GADSRivera Media GroupRivera Med.$91,300
QBRivera Media LLCinv_4821$23,100
STRIPErivera-mediacus_Nq3x$12,600
FECRIVERA MEDIA LLCC00842391$356,100
⚑ Multiple name variants · Abbreviation conflicts · No shared ID across tools
Canonical Bedrock record
Entity · BRK-00421
Name Rivera Media LLC
FEC ID C00842391
SF Account acct_0042
Meta Page page_8821
Stripe cus_Nq3x
Total spend$356,100
Open AR$23,100
Campaigns 4 active
Party Democratic
PriorityTier 1
✓ Resolved: one canonical ID (BRK-00421) linking every source
Every query, every report, every automation runs against canonical records. No more reconciling spreadsheets. No more conflicting data.
OBedrock
CortX · AI sales intelligence
Ask a question. Get answers backed by 41.7M+ transactions.
Cx
CortX Intelligence
Demo · illustrative data
CM
Which political consultants should we prioritize meeting in Florida for the 2026 cycle?
Cx
Based on FEC disbursement data, state filings, vendor scoring, and network analysis, here are the top Florida-connected consultants ranked by spend volume, growth trajectory, and current competitive lock-in status:
Lighthouse Strategies Group
#1 · PRIORITY
$4.2M FL disbursements across 3 cycles. Growing 34% YoY. Not currently locked in with a competing firm. Connected to 12 FL Democratic orgs. Billing growth accelerating into 2026.
DemocraticMedia buyingFL-SEN · FL-GOVOpen to new relationships
Palmetto Political Partners
#2 · HIGH
$2.8M FL disbursements. Handles issue advocacy and ballot measures. Shared vendor relationship with a current PI client. Strong in Miami-Dade and Broward.
BipartisanIssue advocacyBallot measuresWarm intro possible
Gulf Coast Media Inc.
#3 · WATCH
$1.9M FL disbursements. Republican-leaning. Billing flat but significant CTV presence. Currently locked in with a competing media buyer through Q3 2026.
Ranked by: FEC volume × growth rate × lock-in availability × network proximity to existing PI clients. Data as of March 2026.
Ask CortX anything about the political advertising ecosystem...
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Key takeaways
What to remember about the Powers platform.
Five points that make the technology layer a durable asset, not a supporting function.
01 · Thesis
AI-architected from launch, not retrofitted.
The platform was designed to benefit from AI. Every layer compounds. Competitors bolting AI onto legacy stacks cannot catch up without rebuilding.
4
Integrated products
02 · Data depth
Years of context built into the graph.
41.7M+ political transactions, 7 election cycles of history, 106K mapped profiles. The public data can be pulled, but the operating context compounds with every cycle.
41.7M+
Transactions mapped
03 · Operating leverage
Scales volume without scaling headcount.
$2M revenue per FTE, 200× faster scenario modeling, 10× less manual data entry. The platform absorbs volume the labor-heavy model cannot.
$2M
Revenue per FTE
04 · Compounding flywheel
Every campaign makes the platform smarter.
Normalized data, embedded AI, and an owned workflow layer create a self-improving loop. Most competitors are missing at least one layer.
3
Ingredients competitors lack
05 · Strategic position
Modern infrastructure with operating depth.
Legacy agencies have relationships without systems. Software-first entrants have systems without context. Powers has both, and that is the quadrant that matters.
1.75M+
Cost to replicate the code
This is not a services business with software bolted on. The platform is the engine, and services run on top of it.
12Summary
Design system · Component gallery
Reusable components.
Every pattern used in the deck, documented for consistent reuse.
Meta Ads
QuickBooks
Stripe
Meta
Google
QuickBooks