Five things, and the ground they stand on.
We do not run a discovery workshop and then start from an empty repository. Each solution below is a production platform with a real deployment behind it, which is why an engagement compresses to weeks instead of quarters. You get the architecture, adapted to your environment and your constraints.
Book a Technical BriefingStart from the symptom
"Our verification team spends weeks transcribing specifications, and nobody can say what percentage of implemented behavior is actually tested."
Agentic Test Engineering
"Our AI assistant can only read. The moment we tried to let it update a record, security stopped the project."
Enterprise Agentic AI
"The BI queue is forty requests deep and the business has started building shadow spreadsheets instead of waiting."
Agentic Business Intelligence
"Our reps spend the morning researching accounts and the afternoon sending templates nobody answers."
Agentic Revenue Development
"We have a working pilot and a security questionnaire we cannot answer. It has been sitting there for four months."
Zero-Trust AI Governance
01
Agentic Test Engineering
Requirements, source repositories, and merged pull requests become reviewed, traceable tests in your ALM tool. Legacy suites get retrofitted to a consistent structure in place, with a field-level diff before every write.
Full detail~14k
Signal entities indexed from real source
45,000+
Embedded code chunks
8
Subsystems, each independently kill-switched
0
Writes to your ALM tool without human review
02
Enterprise Agentic AI
Autonomous multi-step agents that qualify, analyze, price, and update — executing in hardware-isolated MicroVMs inside your own VPC, stopping at a human approval before every write, and citing the exact tool call behind every claim.
Full detail1,800+
Automated tests, zero failures
50,000+
Tables navigated without bulk schema injection
<100ms
Turn classification target, before any pipeline runs
0
Bytes leaving your VPC
03
Agentic Business Intelligence
A sentence and a governed data source produce a real Power BI project folder — semantic model, DAX measures, visuals, page layouts — that opens in Desktop and lives in source control. A file your team owns, not a hosted view you rent.
Full detail30–90s
Typical end-to-end build
19
Connectors: 5 warehouses, 14 file adapters
750+
Automated tests, no inference cost to run
3
Self-correction loops, then a guaranteed floor
04
Agentic Revenue Development
Qualifying accounts discovered from public records, researched against real firmographic data, contacts resolved through ranked providers and verified before use, outreach drafted from the research — and then it stops. The draft lands in an outbox for a person to read.
Full detail0
Messages sent without a person reading them
0
Addresses guessed from a name pattern
3
Verification tiers before a draft is written
0–100
Confidence score on every lead, from evidence
05
AI-Ready Data
The preparation layer underneath the other four. Business meaning expressed as a semantic model rather than column names an agent has to guess at, sensitive spans tokenized before any inference call, discovery that still works past the point a schema stops fitting in a prompt, and lineage that survives into the citation.
Full detail0
Copies of your data made to prepare it
0
Sensitive spans leaving the perimeter untokenized
4
Layers: meaning, sensitivity, discovery, lineage
50k+
Table catalogs discovery is designed to work against
06
Zero-Trust AI Governance
Not a sixth product — the layer wrapped around all five. Deployment topology, execution isolation, identity integration, privacy tokenization, the human approval gate, and the audit trace. It is the same mechanism in every solution, which means a security review of one carries over to the rest.
Read the security architecture- Execution stays inside your VPC under BYOC
- Hardware-level isolation, egress denied by default
- SAML 2.0 and OIDC against your existing IdP
- Approval pinned to a version token, replay refused
- End-to-end trace an auditor can reconstruct
Included in every engagement
Enablement is not an upsell.
A system your team cannot extend is a dependency, not an asset. Transfer is a phase of the engagement, not a separate line item — and it is the phase we are measured on.
Full source transfer
The repository, the history, and the automated test suite. No escrow arrangement, no extraction fee.
Infrastructure as code
The deployment is reproducible from a commit, not from a document describing what someone clicked.
Architecture decision records
Why each significant choice was made and what was rejected, so your team can revisit a decision without re-deriving the context.
Hands-on engineer enablement
Working sessions with the people who will carry it, against the real system — not a slide deck and a recording.
Which one is your problem?
If it is none of them, say so — we would rather tell you we are the wrong fit in forty-five minutes than discover it in month three.