Regulated & physical worlds
Banking, insurance, healthcare, logistics, government, and manufacturing — where wrong answers have real cost.
Enterprise software · AI · ML · Marketing
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
Solutions map
Browse the same way your org actually buys — by industry, function, team, or role. Marketing sits beside engineering on purpose.
Banking, insurance, healthcare, logistics, government, and manufacturing — where wrong answers have real cost.
Fraud, engineering, legal — and marketing growth systems that treat creative, channels, and attribution as one stack.
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
Not a menu of buzzwords. Deep practice areas with scars from live traffic, auditors, and quarterly reviews.
Pretrain, fine-tune, distill, and route model fleets. Cost and quality as first-class constraints — not afterthoughts.
Graphs, causal inference, and online learners that survive distribution shift without weekend fire drills.
Inference meshes, GPU schedulers, and data planes that hold when the board is watching the dashboard.
Content engines, campaign orchestration, creative QA, SEO/GEO, and multi-touch attribution tied to pipeline — not vanity metrics.
On-device models and closed-loop control where cloud latency is a liability, not a feature.
Fraud graphs, abuse detection, and red-team harnesses that assume the attacker is smarter than the slide deck.
Agent fleets that rewrite legacy estates at industrial scale — verified, instrumented, boring in production.
Feature stores, experiment platforms, and lift measurement that finance will actually accept.
Audit trails, policy-as-code, eval gates, and kill switches — compliance designed in, not bolted on.
New pillar · Marketing
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.
Selected work
Short teases here. Long-form case writing on dedicated pages: the problem, the hard parts, the architecture, and the numbers.
Multimodal demand graph across 14 regions and 2.1B SKU-day combinations — replacing a decade of brittle heuristics.
Read full case →Imaging, vitals, notes, and labs in one calibrated pass — designed for FDA-path readiness from day one.
Read full case →Entity scoring across every hop in the money path — under 18ms p99 at peak holiday load.
Read full case →Post-training platform with preference flywheels, eval CI, and cost-aware inference routing.
Read full case →Agent swarm across 4.2M lines of COBOL → cloud with differential testing that treated drift as Sev-0.
Read full case →On-robot multimodal perception for hazardous environments — fully offline when the uplink dies mid-mission.
Read full case →Platform spine
Every engagement maps to this spine. No mystery meat architecture.
Event buses, feature streams, docs, sensors, ad/CRM telemetry.
Embeddings, graphs, caches — memory that stays hot under load.
Models, planners, verifiers, and marketing decision policies.
APIs, agents, robots, consoles, and channel execution.
Eval gates, audits, kill switches, revenue & safety telemetry.
What leaders say
“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.”
“The marketing OS paid for itself in a quarter. Same brand voice, twelve markets, and attribution that our CFO stopped arguing with.”
“We had research-grade models and production-grade outages. They connected the two with eval gates our security team actually signed.”
Engagement filter
Desire is higher when the door is narrow. We refuse most briefs.
Acceptance rate last 24 mo — 7% of inbound
Dock
Not a contact form. A launch sequence. Tell us what shouldn’t be possible yet — in engineering or in market.