From first principles to production.
AI systems engineered to rununattended, audited, and trusted.
Production grade automation and custom software for the problems no product solves, engineered to run unattended, audited, and trusted at scale.
Built for teams in
The portfolio
3 offerings. One standard.
Software and AI that does the work, not another tool your team has to run.
- 01Available
Custom AI Engineering
Your system, engineered from first principles
PricingFixed price per phase, from a paid discovery sprint. Book a call for a scoped quote.
Engagement · Build - 02Available
Extrovert AI
The AI GTM engine that runs outbound end to end
PricingSubscription, priced to your outbound volume. Book a call for current plans.
Product · Revenue - 03In development
Sillage
The AI governance platform for teams who will be audited
PricingIn development. Design-partner pricing for early teams.
Platform · Governance
Architecture
Inside the engine.
Every Stallwart build, product or engagement, moves through the same four layers. That is why a governance guarantee in one system is a governance guarantee in all of them.
Systems
- Custom AI EngineeringRuns through Intelligence, Orchestration, Governance, Production.
- Extrovert AIRuns through Intelligence, Orchestration, Production.
- SillageRuns through Governance, Orchestration.
Stallwart engineering core
Every build, every engagement
- 01
Intelligence
Where the AI actually makes a call.
Where a judgment is made
Models are selected and constrained for the decision at hand, and calibrated to report their own uncertainty rather than assert through it.
- 02
Orchestration
What keeps the work moving without a person pushing it.
Where work is routed
State, retries, and sequencing. The layer that makes a system run unattended instead of needing a person to advance it.
- 03
Governance
What keeps it inside your rules, with a record of every step.
Where limits are enforced
Policy expressed as runtime controls, not documentation. Approval gates, escalation paths, and an audit trail written as work happens.
- 04
Production
What keeps it reliable once real work hits it.
Where it meets reality
Observability, rollback, and load behavior. The difference between a system that demonstrated well and a system that is still correct on a Tuesday.
How we operate
The terms, before you ask for them.
Cost, duration, ownership, and the commitments underneath them, stated up front. Handing over the work should never mean handing over control.
Full detail on request
What you own
Everything.
Source, infrastructure as code, runbooks, and documentation. Yours to keep, with no lock-in.
What it costs
Fixed price per phase, approved up front. Never billed hourly.
How long it takes
Weeks, not months, with a committed build date.
Encrypted in transit and at rest
TLS 1.2 or higher in transit, AES-256 at rest. Keys stay server side.
Your data stays yours
Your data is never sold and never trains shared models.
Regional data handling
Your data stays resident in the region you choose.
Human override, always
Every action is logged and reversible, and any run can be paused.
When we say no.
We say no when off-the-shelf already solves it, or the spend cannot be justified.
Case studies
Where the work breaks.
Case studies and writing on how operations actually fail, and what holds instead.
Why AI pilots do not reach production
Most enterprise AI never ships. The reason is rarely the model. It is the 80 percent of the system the pilot was allowed to skip.
Custom AI Engineering6 minAI governance before the audit, not after
Most teams assemble AI governance the week a regulator, customer, or board asks. By then the finding is already written. The absence of an answer is the finding.
Sillage6 minOutbound was never a sending problem. It is a research problem.
Most teams try to fix outbound by sending more. The constraint was never volume. It is the account research every good message depends on, and that is exactly the step an AI SDR can finally carry at scale.
Extrovert AI7 minCase study: how a mid market SaaS team ran outbound to booked meetings without more SDRs
A SaaS team was blasting a bought list and getting almost nothing. What changed when every account was researched before a word went out, and the whole motion ran itself to a booked meeting.
Extrovert AI7 min
The origin
The AI industry has a confidence problem, not a capability problem.
Arun founded Stallwart on a direct observation: systems get sold on how convincingly they perform in a controlled demo, and the gap between that and real-world reliability becomes someone else's problem the moment the invoice clears.
He built Stallwart to close that gap, engineering AI systems that report their own uncertainty instead of asserting through it, and that are built to be audited, not just believed.
A software engineer with roughly five years building production systems, and building with AI since well before it was the default.
Read the full story →In their words
What changes when the system carries it.
Meetings booked, not chased
It researches the account, writes the outreach, and follows up on its own. We turned it on and meetings started landing on the calendar without a rep building a single list.
VP of SalesMid Market SaaS · Extrovert AI Research on every account
The outreach actually references the company. Reps used to skip the research to hit send. Now it happens on every account, and the reply rate shows it.
Head of GrowthB2B Agency · Extrovert AI Output without headcount
As a five person team we needed pipeline, not more headcount. It runs the whole outbound motion end to end, so we cover the accounts a team three times our size would.
FounderSMB Software · Extrovert AI
From first principles to production.
Tell us what keeps
falling through.
Bring us the process that only works because someone remembers it. We'll show you which part a system can take over, and say so plainly if the answer is none of it.