Enterprise software · AI · ML · Marketing

SIGNAL FORGE

We finish what research papers start. Production systems for artificial intelligence, machine learning, mission-critical infrastructure — and marketing engines that turn models into measurable demand.

Trusted across regulated & high-scale environments

FORTUNE-50 LOGISTICS NATIONAL HEALTH GLOBAL PAYMENTS SOVEREIGN AI LAB INDUSTRIAL OEM ENTERPRISE GROWTH ORGS

Solutions map

Pick your entry point. We meet you in production.

Browse the same way your org actually buys — by industry, function, team, or role. Marketing sits beside engineering on purpose.

BY INDUSTRY

Regulated & physical worlds

Banking, insurance, healthcare, logistics, government, and manufacturing — where wrong answers have real cost.

BY FUNCTION

From risk to revenue

Fraud, engineering, legal — and marketing growth systems that treat creative, channels, and attribution as one stack.

BY ROLE

Built for decision makers

CIO control planes, CTO architectures, CMO demand engines, CEO transformation programs with named P&L owners.

Open Solutions in the nav for the full mega-menu — industry, function, team, and role taxonomies with concrete use cases.

Capabilities

A constellation of weapons we already know how to fire.

Not a menu of buzzwords. Deep practice areas with scars from live traffic, auditors, and quarterly reviews.

SF-AI

Foundation systems

Pretrain, fine-tune, distill, and route model fleets. Cost and quality as first-class constraints — not afterthoughts.

SF-ML

Decision engines

Graphs, causal inference, and online learners that survive distribution shift without weekend fire drills.

SF-SYS

Mission-critical infra

Inference meshes, GPU schedulers, and data planes that hold when the board is watching the dashboard.

SF-MKT

Marketing OS

Content engines, campaign orchestration, creative QA, SEO/GEO, and multi-touch attribution tied to pipeline — not vanity metrics.

SF-EDGE

Edge & autonomy

On-device models and closed-loop control where cloud latency is a liability, not a feature.

SF-SEC

Adversarial defense

Fraud graphs, abuse detection, and red-team harnesses that assume the attacker is smarter than the slide deck.

SF-MIG

Autonomous migration

Agent fleets that rewrite legacy estates at industrial scale — verified, instrumented, boring in production.

SF-DATA

Decision science

Feature stores, experiment platforms, and lift measurement that finance will actually accept.

SF-GOV

Governance & RAI

Audit trails, policy-as-code, eval gates, and kill switches — compliance designed in, not bolted on.

New pillar · Marketing

Marketing is an engineering problem. We treat it like one.

Most “AI for marketing” is a chatbot on a blog. We build the operating system: generation, governance, channel execution, and closed-loop attribution into CRM and revenue.

  • Content & creative engines — brand-safe generation with human review gates and style systems.
  • Campaign orchestration — always-on testing across paid, lifecycle, and product-led motions.
  • SEO / GEO / answer engines — structured presence where buyers (and models) actually look.
  • Attribution that survives finance — causal lift, not last-click fairy tales.
3.1× qualified pipeline in two quarters for a B2B platform
−41% cost per opportunity after creative + bidding redesign
18 days to stand up governed content ops across 12 locales

Selected work

Proof monoliths — each with a full autopsy.

Short teases here. Long-form case writing on dedicated pages: the problem, the hard parts, the architecture, and the numbers.

Platform spine

Under the hood — the actual layers we ship.

Every engagement maps to this spine. No mystery meat architecture.

L0

Signal intake

Event buses, feature streams, docs, sensors, ad/CRM telemetry.

L1

Representation

Embeddings, graphs, caches — memory that stays hot under load.

L2

Reasoning core

Models, planners, verifiers, and marketing decision policies.

L3

Action plane

APIs, agents, robots, consoles, and channel execution.

L4

Proof layer

Eval gates, audits, kill switches, revenue & safety telemetry.

What leaders say

Readable proof from people who own the outcome.

“Signal Forge didn’t sell us a model. They rebuilt how demand decisions get made — and finance could finally reconcile the forecast to the warehouse.”

VP Supply Chain · Fortune-50 logistics

“The marketing OS paid for itself in a quarter. Same brand voice, twelve markets, and attribution that our CFO stopped arguing with.”

CMO · B2B platform company

“We had research-grade models and production-grade outages. They connected the two with eval gates our security team actually signed.”

Head of AI · Sovereign lab

Engagement filter

Who we take — and who we walk from.

Desire is higher when the door is narrow. We refuse most briefs.

We engage when

  • The problem has no off-the-shelf answer that survives production.
  • Leadership funds outcomes — including marketing pipeline, not just demos.
  • Data exists, or you will let us build the pipes to create it.
  • Failure modes can be discussed in daylight with legal and security.

We walk when

  • “Just wrap GPT” or “just add AI content” is the entire strategy.
  • Compliance is treated as a surprise at the end.
  • Nobody owns the P&L impact of the system.
  • You need a vendor to agree with you, not to be right.

Acceptance rate last 24 mo — 7% of inbound

Dock

Arm a mission.

Not a contact form. A launch sequence. Tell us what shouldn’t be possible yet — in engineering or in market.