Most consulting firms sell frameworks and talent. We sell those too — and a collection of software we've built to run the frameworks. Every engagement ships with the Platform, under universal license, customized for your stack.
Our Platform isn't a suite. It's an architecture. Three tools run across every engagement regardless of lane, regardless of phase — the substrate. A set of specialists plugs in at specific points of the AI-First SDLC. A smaller set activates only inside specific engagement shapes.
This shape isn't cosmetic. The substrate is what lets specialists compound. Every downstream tool reads from the same context, writes into the same workflow, and inherits the same ingestion layer. A spec drafted in Nova flows into Cycle, informs Vulcan's next ticket, and gets reviewed against quality profiles stored in Orbital. A decision captured by Ephemeris in a meeting surfaces the next morning as a pending work item.
We built it this way because the alternative — specialists with private memory — doesn't compound. It fragments.
Project documentation repository — ADRs, PRDs, planning docs, research, interview notes, decisions — stored as embeddings with a conversational interface. Every downstream tool reads from Orbital. When a new engineer, a new agent, or a new stakeholder needs context, they query Orbital rather than interrupting someone.
Role · Context-as-infrastructureAI-First SDLC workflow application. Cycle and sprint planning, team metrics, verification workflows, stakeholder governance. Replaces JIRA-shaped tooling with spec-first, evidence-first work units. Every specialist that produces output — a spec, a resolved ticket, a rebuild increment, a parity report — lands in Cycle.
Role · Work-unit orchestrationMeeting processor. Runs on a schedule, converts transcripts into structured summary notes, and routes decisions, work items, and action items into Cycle while routing insights and reference material into Orbital — all after human review. Meetings stop leaking.
Role · Everything-else-to-substrate ingestionThe daily rhythm of AI-First delivery. Each phase has tools that specialize in it — substrate tools span all of them, phase specialists focus where their leverage is highest. This is how an engagement actually runs, day to day, week to week.
These are the tools that run the day-to-day AI-First delivery loop. They read from the substrate, write into it, and handle the hard parts of spec authorship, agentic work, exploration, and adversarial verification.
Drafts specs from templates, verifies testability, auto-generates epics into Cycle. The leverage point for the whole practice — the document everything else pivots on.
Browses code, plans, executes, tests, opens a PR for human review. The production-grade "agent fixes a ticket" loop your team can actually trust.
Several LLMs review changes in parallel and adjudicate each other's findings. Only the surviving items reach the human reviewer — review latency down, review signal up.
Handles the refactors, upgrades, and cruft-reduction work that accumulates silently in any codebase. Ships small, reviewable PRs on a cadence.
For problems with several viable directions, Parallax runs parallel agents trying different approaches, then surfaces the strongest for human selection. Exploration as a first-class activity.
Listed here as well because it's the specialist that keeps the substrate honest. If it didn't route meeting output into Cycle and Orbital, those layers would starve.
Phase specialists run inside AI Transformation engagements by default, but they're not exclusive to that lane — a Modernization rebuild still uses Vulcan for ticket work, still uses Quorum for review. The lane determines which specialists activate most visibly, not which are available.
Tools whose reason to exist is a specific class of engagement. They read from the substrate, write into the workflow, and handle work that only shows up when the engagement shape demands it.
Per-module analysis with an adversarial writer/critic loop. Produces a seam map grounded in per-module evidence — turning archaeology into validation.
Continuous parity between BAU and rebuild systems. Makes the "are these actually equivalent?" question a dashboard, not a debate.
Milestone-based assessments of receiving-team AI-First readiness. Makes capability transfer a measurable handoff, not a hopeful one.
A hunter agent finds vulnerabilities; a resolver agent proposes fixes. Uses the same class of models and patterns real adversaries use.
Discovery and classification of agents-in-production, their scopes, and their audit-trail shape. The map of your agentic attack surface.
Identifies AI-generated code regions, their review state, and their risk profile. The map of your AI-written code, by risk.
Lane specialists don't run in every engagement — they activate where the engagement shape demands them. A Transformation engagement without Modernization scope won't use Strata or Gemini; a pure delivery engagement without Security scope won't use Orion or Atlas. Every engagement, regardless of lane, runs on the substrate.
Every engagement includes a universal, time-bounded license to every Platform tool relevant to the work. Every relevant tool, customized for your stack and supported by us for the full duration of the engagement. No per-seat metering, no per-feature gating.
When the engagement winds down, the license winds down with it — but the artifacts the Platform produced stay with you. The spec library in Orbital, the cycle history in Cycle, the posture report from Orion, the parity evidence from Gemini, the capability-transfer record from Transit. These land in your repositories, owned by your team, portable to whatever stack you run next.
The Platform is how our engagements compound. You're not renting tooling; you're installing an architecture that outlasts us.