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Built by Kapu

Products we run.

Kapu doesn't just integrate technology — we build and operate our own platforms for the missions the market doesn't serve. Four products, engineered in Honolulu, fielded across the Pacific and beyond.

Product 01 · Defense Manufacturing Network

FORGE.

Scalable additive manufacturing, on demand. A vetted nationwide network of 3D-printing and CNC operators producing mission-critical parts for U.S. military agencies — built in Honolulu, operators across all 50 states.

FORGE OPERATOR REVIEW · LIVE
The Mission

The supply chain
is the mission.

When a sensor housing breaks thousands of miles from the nearest depot, the supply chain is the mission. FORGE shortens it from weeks to hours by distributing production across vetted operators nationwide — placing capacity close to wherever the requisition originates. The same network now serves commercial buyers in parallel: startups, hardware teams, and prototype labs, no clearance required.

  • CMMC L2 aligned · NIST SP 800-171
  • AES-256 encryption at rest
  • On-prem in Honolulu, HI · ITAR compliant
Visit FORGE
Median Fulfillment 48HR Median time from requisition to delivery, nationwide.
Processes Available 8+ Manufacturing processes across the operator network.
Clearance Posture TS/SCI FCL plus cleared personnel, up to TS/SCI.
Audit Coverage 100% Every action on the platform is audit-logged.
The Flow

Requisition to delivery,
in six steps.

Every state change is logged. Operators only ever see the jobs their clearance posture permits.

Step 01

Vetting

US-person check, Facility Clearance (FCL) verification, cleared-personnel attestation, and equipment audit.

Step 02

Posting

An agency drops specs, materials, quantity, delivery window, and the required clearance tier.

Step 03

Match

Operators see only jobs their FCL & personnel-clearance posture permits. Accepting a job locks the file.

Step 04

Production

Files unlock for the assigned operator. Status is logged at every state change.

Step 05

Quality Control

Operators self-verify via 3D scan, micrometer, and material-lot receipts — or ship to Kapu Solutions for spec confirmation on rigorous MILSPEC jobs.

Step 06

Delivery

Chain-of-custody handoff. The agency confirms receipt, and payment releases to the operator.

Product 02 · Influence Threat Prediction

MIPAM.

The Malign Influence Predictive Analytical Microservice — a secure web application that ingests network telemetry, threat intelligence, and social-media influence data, applies an ensemble of predictive ML, and surfaces who, where, when, and what to do about it — early enough to act. In active development.

MIPAM IN DEVELOPMENT
The Mission

Attack the narrative
before it lands.

Modern adversaries don't just attack networks — they attack narratives. Influence campaigns coordinate across bot networks, social-media platforms, and nation-state actors to shape audiences before the target organisation realises a campaign is underway. MIPAM is being built to see those campaigns coming: correlating signals across network monitoring, commercial threat-intelligence feeds, and social-media influence platforms, then applying predictive ML over the result — with full data provenance on every output.

  • Predictive ML ensemble — time-series forecasting, anomaly detection, and relationship mapping
  • Seven operational views, from live monitoring to recommendations, with full data lineage
  • Real-time WebSocket dashboard, exports to PDF / CSV / API, role-based access
  • Sovereign by design — on-prem LLMs, audit-logged, OAuth2 / SAML authentication
Request a briefing
Operational Views 7 Live monitoring, heatmaps, narrative graph, forecast, threat, recommendations, provenance.
ML Layer Multi Forecasting, anomaly detection, and relationship mapping fused into one prediction layer.
Updates Real-time WebSocket-driven event feed, tipping and queuing alerts.
LLM Posture On-prem Local models keep sensitive narrative analysis sovereign.
How it Works

From signal,
to story, to action.

Four capability tiers, layered. Each builds on the one below it — provenance first, prediction next, narrative in context, recommendations at the top.

01

Provenance & Data Explorer

Every prediction starts with the data underneath it. MIPAM ingests from network monitoring tools, commercial threat-intelligence feeds, and social-media influence platforms, normalises the streams, and gives analysts a single place to trace any signal back to its origin.

IngestNormaliseLineage
02

Threat Assessment

Anomaly-detection models — Isolation Forest, One-Class SVM, and related outlier methods — flag inauthentic behaviour, bot networks, and coordinated cross-actor activity in real time, surfacing campaigns while they're still forming.

PyODBot detectionCoordination
03

Forecast & Heatmaps

Time-series forecasting with Prophet and transformer / LSTM models projects expected growth, spread, and audience impact. Predictive heatmaps render the who, where, and when across both geography and digital platforms.

ProphetTransformer / LSTMHeatmaps
04

Narrative Graph & Recommendations

DNN-driven relationship mapping turns raw signals into a graph of actors, narratives, and amplification paths. An on-prem LLM (Ollama-served) generates summaries and explanations, and a recommendations engine surfaces countermeasures with confidence levels for human-in-the-loop approval.

Actor graphOn-prem LLMHuman-in-the-loop
Product 03 · Tactical Communications

COMMs.

Communications Optimized over Multiple Mediums — a single ruggedized kit that delivers resilient transport, radio interoperability, and near-real-time conversational translation across the contested, multilingual environments where any one network is not enough.

COMMs COALITION INTEROPERABILITY
The Mission

Three problems,
one kit.

U.S. and partner forces increasingly operate in bandwidth-denied and linguistically diverse theatres — INDOPACOM, CENTCOM, AFRICOM. Single-path tactical networks fail under jamming and terrain masking. Coalition partners bring incompatible radio architectures. And the language friction between them slows or breaks mutual understanding. COMMs answers all three at once: resilient connectivity, waveform-agnostic radio interoperability, and real-time translation — with no new end-user hardware and no custom appliances.

  • Multi-bearer transport — SATCOM, 5G/LTE, HF, tactical data, Starlink, commercial broadband
  • Waveform-agnostic push-to-talk across coalition radios (RoIP)
  • 100+ language conversational translation, sub-1.5 second latency
Request a briefing
Translation Latency <1.5SEC End-to-end conversational translation, preserving intent and urgency.
Languages 100+ Near-real-time speech-to-speech across the dialects of active AORs.
To Operational 30–60DAYS From integration plan to fielded kit, using mature COTS components.
Supply Chain TAA 100% TAA-compliant components, U.S.-sourced where possible.
How it Works

Three layers,
one platform.

COMMs is a containerised orchestration of three mature commercial technologies, packaged in a hardened transit case that runs on existing tactical servers, laptops, or virtual machines.

01

Transport Layer

Sessionless SD-WAN edge devices aggregate every available bearer — SATCOM, 5G/LTE, HF, tactical data links, Starlink, and commercial broadband — into a single resilient overlay. Packet Scatter, Forward Error Correction, and WAN Smoothing keep voice and data flowing when individual links degrade or fail. The transport foundation draws on technology field-proven with the White House Communications Agency and U.S. Army Special Forces.

SD-WANPacket ScatterFECWAN Smoothing
02

Interoperability Layer

Proven Radio-over-IP (RoIP) gateways bridge disparate analogue and digital radios — and the waveforms behind them — into a unified IP audio stream. Coalition partners with incompatible push-to-talk hardware operate as if they shared one net, without new radios or custom appliances.

RoIPPTTCoalition
03

Translation Layer

A cloud- or edge-hosted speech-to-speech LLM pipeline (Azure Cognitive Services Speech + Azure OpenAI) delivers conversational translation across 100+ languages in under 1.5 seconds — preserving speaker intent and urgency. Built on a FedRAMP High Azure boundary; agency-sponsored FedRAMP Moderate authorization is in process.

Speech-to-speech100+ languagesFedRAMP-aligned
04

Edge-Deployed Kit

All three layers run on a containerised edge proxy that fits in a hardened, IP67-rated transit case — no new radios, no custom appliances, and no user training beyond normal PTT discipline. Ready for integration with coalition partner networks and existing C2 applications in 30–60 days.

IP67ContainerisedCOTS
COMMs Packet Scatter Protocol diagram PACKET SCATTER RESILIENCE IN CONTESTED DOMAINS
In Contested Domains

When one link fails,
the others carry the load.

COMMs fragments traffic at the packet level and distributes it simultaneously across SATCOM, 5G/LTE, and HF. Forward Error Correction reconstructs the original stream even when entire physical links suffer total signal loss; WAN Smoothing eliminates jitter so voice and video remain stable in contested zones. The result is a virtual resilient C2 tunnel that holds together when traditional single-path networks fall apart.

The same engine adapts beyond the tactical edge — the underlying voice and translation stack also powers Kapu's response to OPM’s civilian contact-centre AI Voice Agent requirement, delivered on the existing FedRAMP-aligned Azure boundary and Kapu's GSA MAS contract 47QTCA25D00C3.

Product 04 · Counter-UAS Detection

GUARD.

The Gigapixel Universal Analysis and Response Detector — a passive, multi-modal system designed to detect, identify, and classify the small drones that legacy radar misses. In active development in Honolulu.

GUARD IN DEVELOPMENT
The Mission

See the drones
radar can't.

Surface radar struggles with small unmanned aircraft at low altitude — the curvature of the earth, the terrain, and the size of the targets all work against it. Ground units get little warning. GUARD is being designed to close that gap with a passive multi-sensor approach: gigapixel electro-optical panoramic imaging fused with thermal, acoustic, and radio-frequency sensing, all processed by AI/ML that classifies threats and recognises formations and tactics, not just individual objects.

  • Passive operation — no active emissions to jam or exploit
  • Built for the low-altitude band, 0–6,000 ft AGL
  • Edge-compute design for real-time analysis in contested, GPS-denied environments
Request a briefing
Optical Coverage 360° Panoramic gigapixel imaging — no mechanical panning, no moving parts.
Sensor Modalities 4 Electro-optical, infrared, acoustic, and radio-frequency — fused.
Altitude Envelope 0–6KFT The low-altitude band where surface radar is blindest.
Emissions Passive Zero active signal to detect, deceive, or jam.
How it Works

Four layers,
one threat picture.

Stealth, low-probability-of-intercept signalling, and electronic warfare each defeat a single sensor. GUARD is being built so no single countermeasure defeats the system.

01

Gigapixel Optical Array

A multi-lens panoramic array, developed with Circle Optics, captures parallax-free 360° imagery at gigapixel resolution. No mechanical panning, no moving parts — wide-area coverage and the fine detail needed to spot small airframes at distance.

PanoramicParallax-freeGigapixel
02

Multi-Modal Sensor Fusion

Electro-optical, infrared (FLIR), acoustic, and radio-frequency feeds combine into a single threat picture. A stealth airframe still emits heat; an LPI/LPD radio still leaks acoustics; what one sensor misses, another sees.

EOIR / FLIRAcousticRF
03

Transformer-Based AI/ML

Cross-modal transformer models classify threats and analyse behaviour, not just objects — recognising coordinated formations, swarm manoeuvres, and evasive tactics across time and sensor modalities, on edge compute.

Cross-modalBehaviour-awareEdge compute
04

Modular & Passive

An open, modular architecture allows future sensor and payload integration. Fully passive operation makes the system inherently resistant to jamming and to detection by adversary signals intelligence.

ModularPassiveCounter-EW
GUARD multi-lens optical array CIRCLE OPTICS PARALLAX-FREE ARRAY
The Hardware

A camera that
never blinks.

GUARD's optical front-end is a stationary multi-lens array — overlapping, parallax-free apertures sharing a common centre of perspective. The result is continuous wide-area imaging without the gaps and latency of mechanically panned cameras, and without the brittle stitching pipelines of conventional 360 rigs.

Developed in collaboration with the University of Hawai‘i at Mānoa, the optical foundation is paired with on-device AI/ML for real-time analysis in contested, GPS-denied, and electronic-warfare environments — with applications spanning counter-UAS, ISR, base and perimeter security, border surveillance, and disaster response.

The Kapu Difference

Aligned with Your Needs. Invested in Your Success.

Experience the Kapu Difference. We don’t just deliver — we build partnerships. Our cleared professionals bring a depth of experience unmatched in the Pacific theater. You get more than a transaction; you get the confidence that comes from working with a team that understands your mission’s unique requirements.

Engagement Summary 2026 · FY Q1
47
Active mission engagements
99.9%
Service availability · trailing 12 mo
12MIN
Median incident response time
8+
Frameworks & certifications carried
KAPU · Products