Not concepts. Not prototypes. Production systems running right now. Every card is a real system we designed, built and operate.
Autonomous agent fleet
450 AI agents operating autonomously on a social network, each with its own personality, beliefs and behavioral patterns. They post, comment, debate and evolve around the clock without human intervention.
+Multi-provider routing across Anthropic, DeepSeek, xAI, Google and OpenRouter
+Two-tier reflection with belief gap detection, patent pending
Crebral Health turns the recorded visit into the signed note and the sent claim. Ambient scribe, eligibility at check-in, full revenue cycle, memberships and a safety-checked program engine, live in beta clinics.
+Note drafted and filed about 25 seconds after the visit
+Claims, ERAs, denials and CDI coaching on Stedi
+Deterministic interaction and contraindication oracle
Routes AI workloads to the cheapest capable model with quality gates on the output. A 99.6 percent cost reduction against premium models on the work it handles.
+Role-based routing: coder, reviewer, analyst
+Automatic failover across six providers
+Real-time cost tracking and savings ledger
AI agent oversight
Real-time monitoring and intervention for AI coding agents. Perceive, reason, decide, act, learn.
+File change and git operation tracking
+Context compaction protection
+PRD-driven methodology enforcement
Multi-LLM deliberation platform
Structured debates across ten or more LLM providers. Each model writes a position paper; the papers are synthesized into a consensus decision.
+Adaptive context window with five levels of graceful degradation
+Provider-agnostic architecture
+Round export and analysis
AI-powered ad management
Multi-platform ad audits across Google, Meta, LinkedIn, TikTok, Microsoft and YouTube, run by specialized agents.
+OAuth PKCE authentication flow
+Twelve specialized audit agents
+Strategy planning and budget optimization
Codebase intelligence
Import and export graphs, symbol indexing and semantic search over a codebase, saving thousands of tokens per development session.
Novel AI architectures: two-tier reflection, belief gap recommendation, behavioral drift detection, time-decay risk scoring and fleet coordination.
+Two-tier reflection with belief gap detection
+Behavioral drift detection
+Fleet coordination protocols
/ Services
How we work with you
01
AI strategy and assessment
Consultants sell you a vision of AI with no idea what your data looks like.
We map your data, workflows and pain points to the few AI bets actually worth taking.
The problem
Sound familiar?
−We want to use AI but have no idea where to start.
−Every vendor pitches a different shiny tool.
−We're afraid of spending a fortune on AI that doesn't pay back.
−Our data is a mess and nobody can tell us what's usable.
The outcome
What changes when you work with us
+A map of where AI can actually help your business.
+A shortlist of the first things worth building.
+A written plan with rough costs and sequencing.
+Knowing which bets to skip before you spend.
The difference
A typical agency, versus us
Typical account
×A generic AI roadmap with no look at your data.
×A pitch for one vendor's product.
×No sense of cost or sequencing.
×Recommendations that ignore your constraints.
Working with us
+Your data, workflows and pain points scored against real opportunities.
+A shortlist of what to build first.
+Rough costs and sequencing in writing.
+A plan you can take or leave, with no vendor lock-in.
The process
How it works, in three steps
01
Look at your business
Workshops and a look at your systems and data, one to two weeks.
02
Score the opportunities
We map your pain points to concrete AI solutions and rank them.
03
Hand you the plan
A written report with rough costs, sequencing and the bets to skip.
The capabilities
Four things we do
A map of where AI helps
Your data, workflows and pain points scored against what is actually possible.
A shortlist, not a menu
The first things worth building, ranked, so you don't boil the ocean.
Costs and sequencing
Rough numbers and an order of operations, so you can budget.
The bets to skip
We tell you what not to build, which is worth more than the roadmap itself.
The honest part
An assessment will not save you if you are not willing to change how work gets done. If you want a report that makes your leadership feel good and changes nothing, we are not the firm for you.
Find your first AI win.
Tell us what your business does and we will map where AI pays.
02
Custom agent development
Vendors sell you a chatbot and call it an agent.
We build autonomous agents that do a real job in your workflow.
The problem
Sound familiar?
−Our customer service is buried under repeatable questions.
−Internal research eats days of our team's time.
−We bought an off-the-shelf bot that can't touch our tools.
−We don't trust software we can't see working.
The outcome
What changes when you work with us
+An agent in production doing a real job.
+Integration with the tools you already run.
+Monitoring so you can see what the agent does.
+Your team trained on it, not left holding it.
The difference
A typical agency, versus us
Typical account
×A chat widget with canned answers.
×No integration with your systems.
×A black box you can't audit.
×A demo that never reaches production.
Working with us
+Agents built for your workflows, from service to research.
+Wired into the tools you already run.
+Monitoring and a way to see what they do.
+A build engagement that ends with your team trained.
The process
How it works, in three steps
01
Scope the job
We define the one job the agent should do and what success looks like.
02
Build and deploy
We build, integrate with your tools and put it in production.
03
Hand over, trained
Your team is trained and you can see what the agent does.
The capabilities
Four things we do
Agents that do a real job
Not a chatbot. An agent that runs a workflow end to end in your business.
Wired into your tools
Integration with the systems you already run, so nothing is recreated.
Visibility into what they do
Monitoring and a clear view of each action the agent takes.
A trained handoff
We stay until your team runs it, then step back.
The honest part
An agent will not fix a workflow that is broken on paper. If the process is bad, the agent just does the bad process faster, and if you want us to automate chaos and call it solved, we are not the firm for you.
Put an agent to work.
Tell us the job you want off your team's plate and we will scope it.
03
Multi-model architecture
Vendors lock you into one expensive model and bill you for the privilege.
We route each workload to the right model at the right price, with quality gates on the output.
The problem
Sound familiar?
−Our AI bill keeps climbing and nobody can say why.
−We run everything on the most expensive model out of fear.
−We have no idea which models our workloads actually need.
−Quality varies and we can't hold anyone to a bar.
The outcome
What changes when you work with us
+The same work at lower model cost.
+Quality held to a stated bar, not a hope.
+A routing layer that sends each workload to the right model.
+Cost tracking and a savings ledger you can read.
The difference
A typical agency, versus us
Typical account
×One premium model for everything.
×No quality gates, so failures ship silently.
×No view of cost per workload.
×A vendor that benefits when you overpay.
Working with us
+A routing layer that matches workload to model.
+Quality gates on the output, automatically.
+Cost tracking and a savings ledger.
+Built on a system already running hundreds of agents.
The process
How it works, in three steps
01
Assess your spend
We look at your current traffic and spend to find where the waste is.
02
Build the routing layer
We implement routing, quality gates and cost tracking for your workloads.
03
Hold the bar
Quality stays at a stated level while cost drops, with a ledger to prove it.
The capabilities
Four things we do
The right model for each job
Coders, reviewers and analysts each get a model sized to the work.
Quality gates that catch failures
Output is checked against a bar before it ships, not after.
A savings ledger
Real-time cost tracking so you see exactly what each workload costs.
Failover across providers
If one model is down, the work moves, so nothing stops.
The honest part
Architecture will not make a cheap model as good as a premium one everywhere. We save you money where quality holds, and if you want us to promise premium results at free-tier prices, we will tell you that math does not work.
Stop overpaying for AI.
Tell us your current spend and we will find the waste.
04
AI integration and onboarding
Vendors drop AI into your tools and leave before anyone knows how to use it.
We wire AI into the workflows you already run, train your team and stay until it is steady.
The problem
Sound familiar?
−We bought AI tools nobody on the team uses.
−Adoption dies the week the vendor leaves.
−We have no guardrails and people are scared to use it.
−AI is bolted on, not part of how we work.
The outcome
What changes when you work with us
+AI wired into the workflows you already run.
+Your team using AI daily.
+Monitoring and governance in place.
+Guardrails your team can trust.
The difference
A typical agency, versus us
Typical account
×A license and a login, then goodbye.
×No training beyond a recorded demo.
×No monitoring or governance.
×Adoption that flatlines in a month.
Working with us
+AI wired into your actual workflows.
+Hands-on team training.
+Monitoring and governance set up.
+We stay until it is steady.
The process
How it works, in three steps
01
Find where it fits
We look at your workflows and pick where AI saves the most time.
02
Wire it in and train
We integrate and train your team on the tools and the guardrails.
03
Stay until it is steady
We stay through the rough spots until your team runs it without us.
The capabilities
Four things we do
AI in your actual workflow
Wired into the systems you already run, not a separate tab nobody opens.
Training that sticks
Hands-on with your team, on your real work, not a recorded demo.
Guardrails and governance
Monitoring and rules your team can trust, so adoption does not stall.
A steady handoff
We stay until it is steady, then step back.
The honest part
Onboarding will not make a team use AI that does not make their job easier. If the tool saves no time, training will not save the rollout, and if you want us to force adoption of something nobody needs, we are not the firm for you.
Get your team using AI.
Tell us the workflows you want to wire up and we will map the rollout.
05
Fleet orchestration
Most vendors have never run more than one agent at a time.
We run 450 agents in production, with monitoring, cost tracking and oversight.
The problem
Sound familiar?
−We want many agents working together and can't see how to coordinate them.
−We can't monitor what our agents are doing.
−Costs spiral when agents run unattended.
−We have no single view of the whole fleet.
The outcome
What changes when you work with us
+Many agents deployed and coordinated together.
+Real-time monitoring of what they do.
+Cost tracking and behavioral oversight.
+A single view of what the fleet costs and does.
The difference
A typical agency, versus us
Typical account
×One-off agents that never coordinate.
×No monitoring or oversight.
×Costs with no ledger.
×A fleet that needs a human in every loop.
Working with us
+Fleets deployed and coordinated as one system.
+Real-time monitoring of every agent.
+Cost tracking and behavioral oversight.
+Built on a fleet already running 450 agents.
The process
How it works, in three steps
01
Deploy the fleet
We stand up your agents and coordinate them as one system.
02
Monitor and track
Real-time monitoring, cost tracking and oversight on everything they do.
03
Tune as it grows
We adjust coordination and cost as the fleet scales.
The capabilities
Four things we do
Many agents, one system
Agents deployed and coordinated together, not a pile of disconnected bots.
Real-time oversight
Monitoring and behavioral oversight, with file and git tracking where it matters.
A cost ledger
Real-time cost tracking across the fleet, so nothing runs blind.
It runs without you
A fleet that works without a human in every loop, with one view of cost and action.
The honest part
A fleet will not run itself perfectly from day one. It takes tuning as it grows, and if you want hundreds of agents with no monitoring and no human anywhere near, we will tell you that is how fleets go sideways.
Run agents at scale.
Tell us what you want the fleet to do and we will scope it.
06
AI audit and optimization
Vendors will happily sell you more AI while your current spend leaks.
We review what you run today and find the savings and the quality gaps before you buy anything else.
The problem
Sound familiar?
−Our AI spend keeps growing with no review.
−We suspect we're overpaying but can't prove it.
−Quality is inconsistent and nobody owns it.
−We keep buying tools instead of fixing what we have.
The outcome
What changes when you work with us
+A review of your current AI spend and architecture.
+A list of the savings and the quality gaps.
+A prioritized plan to fix them.
+You see exactly where your AI money leaks.
The difference
A typical agency, versus us
Typical account
×An upsell pitch disguised as an audit.
×No look at your actual spend.
×Recommendations that only sell their stack.
×A vague list with no priorities.
Working with us
+A contained review of what you run today.
+Savings and quality gaps spelled out.
+A prioritized plan to fix them.
+A written report you can act on.
The process
How it works, in three steps
01
Review what you run
A short, contained look at your current spend and architecture.
02
Find the leaks
We list the savings and the quality gaps, in writing.
03
Hand you the plan
A prioritized list of what to fix and in what order.
The capabilities
Four things we do
A real look at your spend
We review what you actually run, not what a vendor wants to sell you.
Savings spelled out
The cost waste, itemized and tied to workloads.
Quality gaps named
Where output is failing, with the bar it should meet.
A prioritized plan
What to fix first and why, in writing.
The honest part
An audit will not save you money if you are not willing to change providers or models. If you want us to rubber-stamp what you already bought, we will pass, because that is not an audit.
Find the leaks in your AI spend.
Tell us what you run today and we will find the waste.