Free expert report on your AI strategy, idea, or roadmap - reviewed by our CAIO.

AI That Actually Works For Your Business.

Day Two is where most AI goes to die. StronglyAI builds AI that compounds over time - embedded in your operations, accountable to your team, measured by the numbers.

UBS Salesforce VMware AnChain Pivotal Greenplum Dayton Freight A42 Labs Flock Investment Advisors Coop

People + Process + Platform. In That Exact Order.

Most vendors lead with the platform. We lead with people. Strength in Results - measured below.

We don't leave until it works. We don't win until you do. That's the only standard that counts. That's Strength in Results.

StronglyAI Platform Demo

People

Forward Deployed Engineers Who Live Inside Your Operations

FDEs learn your systems, map failure modes, and build accountability into the engagement structure - not the contract language. For a smaller business without an internal AI team, this is the only way to make it stick.

Embedded, Not Remote

Our engineers deploy into your environment, in your stack. They build governance that holds, integrations that don't break on version updates, and workflows that ship.

Knowledge Transfer

When we leave, your team can run and evolve these systems. We document the what and the why - not just architecture diagrams.

Day Two Operations

The workflows, instrumentation, and governance that make AI stick after go-live. Built in from Day One. Not retrofitted six months later.

Production AI Infrastructure Built to Hold

Surfaces, AI Gateway, autonomous agents, model factory, integrations, infrastructure. One stack. Day Two operations engineered from Day One.

AI PLATFORM
01 · Surfaces How people and systems reach Strongly single conversational fabric
Conversational
Slack, Teams, Discord, web chat with multi-modal input.
Web Console
Embed Strongly assistants in any internal portal or app.
REST & SDK
Streaming HTTP, Python, TS, Go. OpenAPI spec included.
Mobile
iOS and Android native SDKs for embedded experiences.
Voice & Avatars
Lifelike personas with face and voice. Telephony bridge included.
AI Gateway
routing · tracking · guardrails
02 · CoreAI Workflows & Autonomous Agentsstreaming · batch · connected graphs
IsolatedFor Security
DistributedFor Scalability
CustomizableFor Extensibility
AGENT PRIMITIVES
Prompts
Memory
Artifacts
Knowledge Graph
Skills
Preferences
Rules
Tasks
Heartbeat
A2A
03 · ModelsModel FactoryAI · ML
AI
HostedStrongly · open weights
FrontierOpenAI · Anthropic · Google
Fine-tuneLoRA · SFT · Distill
EvaluationsAuto · Human · Agent as Judge
ML
AutoMLAutomated model training
Model RegistryVersions · Lineage
Drift DetectionData · Concept
A/B TestingLive experiments
04 · IntegrationsUnified Data & Services Layerread · write · stream
500+integrations
For business users · No-code
AI Assisted
Build AI agents and drag-and-drop workflows with a visual canvas. Ship from idea to production in minutes.
Automated DevDrag & DropGuided ModelingCoding Assistants
Templates · Guided setup
For developers · Pro-code
Agent Architect
Design custom agents with full programmatic control. Python and JS SDKs for advanced workflows.
WorkspacesPython SDKJS SDKProgrammatic AccessEnvironments
Develop · Test · Deploy
Instant Access
AI Marketplace
Pre-built Apps, Workflows and Agents for IT, HR, Finance, Engineering. One-click install.
StronglyGPTKanbanCrusherClaw+ 40
05 · OperationsSystems Intelligence
GovernancePolicy · Audit · RBAC
ObservabilityTraces · Logs · Evals
FinOpsBudgets · Token cost
IdentitySSO · Provisioning · Propagation
06 · InfrastructureDeploy Anywhere
AWS
VPC · Bedrock
Azure
Private Tenant
GCP
Vertex · GKE
On-prem
Air-gapped
07 · ComplianceAudited & Certified
WCAG 2.2WCAG 2.2
VPAT / ACRVPAT / ACR
GDPRGDPR
HIPAAHIPAA
CCPA / CPRACCPA / CPRA
NIST CSFNIST CSF
CIS ControlsCIS Controls

Platform

Production AI Infrastructure Built to Hold

Connected directly into the tools your business already runs on - CRM, ERP, data systems - without custom middleware that breaks on version updates. No duct tape. Built to hold.

Your Environment, Your Control

Data never leaves your infrastructure. Deployed to your cloud, your VPC, or on-premises.

Workflow Orchestration

Build multi-step AI pipelines with branching, parallelism, and human-in-the-loop approvals.

Cost Optimization

Intelligent model routing, auto-scaling, and usage analytics. Teams have cut LLM costs by 84% without sacrificing quality.

Six Reasons Production AI Teams Choose Strongly

What separates a demo from a deployment.

01

Faster Time to Value

From scope to production in 3-6 months, not 12-18. Pre-built workflow nodes, agent templates, and Forward Deployed Engineers who embed on day one.

02

Autonomous AI Agents

Plan, reason, execute. First-class memory, knowledge graphs, skills, and agent-to-agent communication. Connected to 500+ systems via native integrations.

03

GenAI and Traditional ML

LLM workflows and agentic systems on the same platform as classical ML, AutoML, and MLOps. One stack for every model type your team ships.

04

Strongly-Hosted Models, One Gateway

87+ open-weight models in your environment plus every major provider, behind a single API. Routing, PII filtering, semantic caching.

05

No Code and Pro Code

Visual workflow builder for analysts. Full SDK for engineers. Same agents, same observability, same governance. Teams build at their own altitude.

06

Security, Governance, and FinOps

Role-based access, audit logs, policy enforcement, and FinOps cost controls. Built to meet GDPR, CCPA/CPRA, HIPAA, NIST CSF 2.0, CIS Controls, VPAT/ACR, and WCAG standards.

Bridging the AI Divide - Strongly White Paper

Why Most AI Dies on Day Two

Bridging the AI Divide is the guide for leaders who refuse to be the statistic. The People + Process + Platform framework, broken down step by step. Specific. Actionable. Built from real deployments.

Read the report

The Market

Pilot Purgatory Is Real

70-90%

Never Reach Production

Of AI projects stall between the demo and Day Two. Not because the model was wrong. Because nobody stayed.

3-6mo

ROI vs. 12-18 Month Norm

We build for Day Two before Day One is done. The difference is production AI that compounds, not expires.

$0

Fees at Risk

If it doesn't run in production, we haven't done our job. We put our fees at risk on the first engagement. That's structural, not promotional.

The prototype graveyard is full of good intentions and bad partners. We built StronglyAI to be the exception.

Stop Shipping Pilots.
Start Compounding.

AI isn't failing because the models are weak. It's failing because Day Two is ignored. We build the 80% plumbing once - so your team can build the 20% that wins.