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SDD · BetaCraft’s operating model

Spectra — the platform powering Stakeholder-Driven Development

The operating model we run our own agency on — productized, so your team can run on it too.

Give us one narrow, multi-stakeholder problem. In 4 to 6 weeks our agents build a working slice on your cloud, under your compliance controls — free POC, scoped on the Zoom.

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Start here

If you have not worked with AI agents before, read this first.

Most of this page uses the words "agent," "substrate," and "Spectra." If those are new, here is the thirty-second version so the rest of the page makes sense.

  • What is an agent?

    An agent is a small, specialized AI worker — not a chatbot. Each one has a narrow job and a name. One writes the weekly digest. Another watches for risks. A third answers client questions. Each reads from the same shared history, does one thing, and logs what it did so a human can check its work before it lands anywhere permanent.

  • What is the substrate?

    The substrate is the shared history of your project. Every email, Slack message, commit, design file, and Zoom transcript lands in one place in the same shape — never deleted, always time-stamped. Agents read from it. You read from it. Your client reads from it. One truth underneath, even though everyone is still working in the tool they already use.

  • What does Spectra do for your team?

    Spectra is the platform BetaCraft built to run that shared history and those agents — on your cloud, in your tenant, under your compliance controls. Your PM, your developers, your client, and your designer each keep using the tools they already use. Spectra makes sure everyone is answering from the same truth, and every answer has a citation you can click.
The coordination problem

Every AI multi-stakeholder project has the same failure mode

AI agents ship faster than teams can agree on what to build. A single session in Cowork — the Claude desktop app where our teams work alongside AI — can produce thousands of lines of code, a dozen design choices, three migrations, each one made on the agent’s best read of what the team wants. Production is no longer the bottleneck. Alignment is.

Coordination used to be a PM function. In agentic development it is the governor — the thing that decides whether AI velocity becomes real progress or confidently-wrong output at scale. Every multi-stakeholder AI project fails in the same three places:

  1. Beat 1: Context lives in five-plus tools.

    Clients live in email. Devs live in GitHub. PMs live in docs. Designers live in Figma. Every stakeholder sees a slice. No one sees the whole truth. The status update in the standup is a best-guess reconciliation.

  2. Beat 2: Unified workspaces ask for too much.

    Notion, Linear, Atlassian all try to solve this by replacing the native tools. Stakeholders refuse to leave Figma, GitHub, or their inbox. The unified workspace becomes another tab — another source of drift.

  3. Beat 3: No one can answer "what did we decide, and why" across every tool.

    Copilots inside individual tools make one stakeholder faster. They do not make the team aligned. The question every stakeholder actually needs — what did we decide, why, and what is at risk — is the one no single tool can answer, because the answer spans all of them.

SDD · BetaCraft’s operating model

Stakeholder-Driven Development — the process we run our agency on

Clients live in email, devs in GitHub, PMs in docs, designers in Figma. SDD inverts the "unified workspace" approach — the substrate underneath is unified, the surfaces on top stay native. Every artifact lands in one append-only event log. Agents specialized to your project read from it, cite it, and answer in each stakeholder's voice.

The agents are not generic. They are defined per-engagement — briefed on your domain, your stakeholders, your guardrails — and they sit on top of Claude. You get a cited answer to any question — what did we decide, what is at risk, who owns what — without anyone abandoning their tools or learning a new one.

“Preserve native tools. Unify the substrate underneath. Give each stakeholder their own surface.”
BetaCraft · SDD thesis

  • Event log

    One shared history for the whole project. Every commit, message, email, transcript, and file upload lands in the same place in the same shape — nothing gets deleted or overwritten, so you can always see what changed and why. (Under the hood: an append-only Postgres table; state changes append new events pointing at the original.)

  • Cowork plugin

    One plugin, one MCP, six skills. The team lives in Cowork; the plugin owns git mechanics, catchup digests, proposals, ingestion, and session boundaries.

  • Graph + vector retrieval

    Every answer traces back to the people and artifacts behind it — not just to similar-sounding text. Ask "why did we decide this?" and the platform walks the chain from the decision to the message, commit, or transcript it came from. (Under the hood: keyword, vector, and graph retrieval fused via Reciprocal Rank Fusion; derived entities are typed projections over the event log, regenerable on demand.)

  • Client portal

    Magic-link login, dashboard, chat box. Non-technical stakeholders ask plain-English questions and get cited answers. Zero technical setup.

  • Admin console

    One-time project setup. Create the project, install the GitHub and Slack apps, invite team and client by email, configure filters. Fifteen minutes per engagement, then rarely touched.

Swipe or use arrows to explore all five.
How it works

Five seats. Five surfaces. One truth underneath.

A project manager in Cowork, a client in a web portal — business voice or technical voice, same substrate — a developer in an IDE, a QA lead on a CI dashboard, a designer in Figma. Each stays in their native tool. Each gets a cited answer in a voice that fits their seat. The exchanges below are real artifacts from live engagements, used with permission. Sunday night, a weekly digest cron fires per project — per-stakeholder briefings, every claim cited, zero status emails to write.

  • CoworkCowork · sapey-docs

    The Project Manager

    Maria

    CoworkDelivery surface

    Morning catchup. Figures out what needs her attention first.

    • Session-start digest

      Since Friday: Chetan shipped the overnight schema migration (PR #42 merged Saturday 3:12 AM). Chetan proposed DEC-021 — bump retrieval recall at the cost of ~30 ms latency. Needs your review. Roddy emailed Sunday asking whether May 5 launch is still on track. Not yet responded.

    • what did Roddy say exactly? and draft a reply pushing launch to May 12, honest about the week slip.

    • "Hi Maria, following up — given the scope additions last week, is May 5 still realistic? I’d rather know now than be surprised. — Roddy" Draft reply ready. Frames the May 12 date, attributes 4 days to scope additions and 2 days to the latency investigation, offers to walk him through DEC-020 on a call.

      • email:roddy-apr-14
      • DEC-020
      • risk:embedding-latency
    • and DEC-021 — summarize what changes and what it costs. one paragraph.

    • DEC-021 bumps pgvector ivfflat probes from 10 to 20. Retrieval recall climbs ∼8% across the last 1,200 runs. Trade-off: vector p95 rises ∼30 ms — the 312 ms average becomes ∼340 ms, still above our 200 ms target. Chetan’s rationale: the recall wins matter more for decision-surface queries than the latency hit. Your call to lock or defer — draft comment saved to the decision.

      • DEC-021
      • agent_runs:latency
      • slack:sapey-retrieval-apr-18
  • sdd.betacraft.io/sapey

    The Client

    Roddy & Samir — same client org

    Web portalBusiness + technical surface

    Same portal, same data. The CEO asks in business language; the CTO asks the same question in engineering language. Each gets the answer that fits their seat.

    • Dashboard

      Recent activity · 8 commits, 3 decisions locked, 1 new risk. Active decisions · DEC-019 (mutex approach), DEC-020 (May 12 launch), DEC-021 (pgvector tuning, proposed). Open risks · Embedding latency (high, being addressed). Milestones · May 12 launch (revised from May 5).

    • Roddy · CEO
      why was launch moved to May 12?

    • Launch moved from May 5 to May 12 for two reasons. First, scope additions last week — the admissibility gate telemetry and the extra migration path — added about four days of engineering. Second, we uncovered a performance issue searching project data, which took two days to investigate. Mayuresh, your account lead at BetaCraft, confirmed this with you by email on Monday.

      • DEC-020
      • email:mayuresh-apr-15
    • Samir · CTO
      walk me the decision chain on the admissibility gate and the latency work. commit SHAs, RLS impact, and the agent-run audit.

    • DEC-019 locked the mutex approach over transactional isolation (commit 7f8a91c, PR #41). RLS policy on events.admissibility unchanged — the mutex sits in the webhook handler, not the data layer. Latency work lives in DEC-021: ivfflat probes 10 → 20, PR #43 open. Agent-run trace ar_019 shows the search path that triggered the investigation; vector p95 currently 312 ms against a 200 ms target. Full audit log exportable from Portal › Settings › Compliance.

      • DEC-019
      • DEC-021
      • commit:7f8a91c
      • pr:#41
      • pr:#43
      • agent_runs:ar_019
  • sapey-governance-substrate
    webhook.ts

    The Developer

    Chetan

    IDE + CoworkEngineering surface

    Stays in the IDE. Pulls strategic context on demand.

    • /sdd-ask what did Mayuresh decide yesterday about the admissibility gate approach?

    • Mayuresh locked DEC-019 yesterday (Apr 16, 15:32 UTC). He chose the mutex approach over the transactional-isolation approach you proposed. Rationale: simpler to reason about, no risk of deadlock under high concurrency. One concern flagged for you — the mutex timeout needs to be >10s or the load test will flake.

      • DEC-019
      • slack:sapey-arch-apr-16
    • show me the current latency data.

    • Vector queries averaging 312ms over the last 24h, threshold is 200ms. ivfflat probes currently at 10. Suggested next step: try probes=20 (Chetan’s proposal DEC-021). Full dataset in agent_runs.latency_p95.

      • agent_runs:latency
      • DEC-021
    • /sdd-ask where is the mutex timeout set and what does the load test currently assert?

    • Mutex timeout is set in webhook.ts:142 to 8 s — under the >10 s threshold Mayuresh flagged on DEC-019. Load test in tests/webhook/concurrency.load.ts asserts completion within 15 s per batch but has no explicit timeout assertion. Suggested: bump the timeout to 12 s and add expect(mutexAcquireMs).toBeLessThan(10_000) in the load suite so the regression catches any future drift.

      • webhook.ts:142
      • DEC-019
      • tests/webhook/concurrency.load.ts
  • ci.betacraft.io/sapey · test-plan

    The QA Lead

    Priya

    CI dashboard + CoworkTesting surface

    Plans regression before the merge train. Wants to know which decisions this sprint actually changed behavior — and then scaffold the tests.

    • Sprint delta

      Since Mon: DEC-019 locked (mutex approach), DEC-021 proposed (pgvector probes 10→20), DEC-024 locked (design-token migration). 7 PRs merged. Suite pass rate 94% (was 97%). 2 newly-flaky specs in webhook.concurrency.*.

    • which decisions this sprint need new regression coverage, and which existing assertions break?

    • Three decisions changed behavior. DEC-019 (mutex on ingestion webhook) needs concurrent-write coverage — current suite has no deadlock/timeout cases. DEC-021 (ivfflat probes 10→20) changes the latency profile; existing p95 assertion in tests/retrieval/latency.spec.ts (<200 ms) needs to hold but margins tighten. DEC-024 (dark mode removed) invalidates 14 visual-regression snapshots in tests/ui/dark/*.

      • DEC-019
      • DEC-021
      • DEC-024
      • prs:sapey-webhook-apr-16
    • scaffold the mutex concurrency suite.

    • Drafted tests/webhook/mutex.concurrency.spec.ts — 4 cases: cold start, concurrent writes, deadlock timeout >10 s, recovery after release. Branch test/dec-019-mutex-regression, PR ready for your review. Linked to DEC-019 rationale so the assertion thresholds stay traceable.

      • DEC-019
      • agent_runs:scaffold-qa-apr-17
      • pr:#44
  • Figmaacme-design-system-v4 · Cowork sidecar

    The Designer

    Luis

    Figma + CoworkDesign surface

    Stays in Figma. Syncs design decisions to the substrate in one command.

    • /sdd-ingest ~/Downloads/acme-design-system-v4.pdf

    • Ingested. Event ID evt_abc123. 62 pages, 847 design tokens extracted, 23 frames identified. Searchable now.

      • evt_abc123
    • what decisions conflict between v4 and v3?

    • Three differences. (1) Primary button #3B82F6 → #2563EB — no rationale in doc, flag for decision. (2) Grid base 8pt → 4pt — aligns with DEC-024 from the dev team Apr 14. (3) Dark-mode support removed — no rationale in doc.

      • pdf:v3
      • pdf:v4
      • DEC-024
    • which components still ship the old #3B82F6 on main?

    • 11 components still reference #3B82F6 on main: Button/Primary, Tabs/Active, Link/Default, Badge/Info, and 7 chart variants under /charts. All route through tokens.ts:primary — one token swap updates all 11. PR scaffold ready as pr:#45 when you lock the v4 decision.

      • tokens.ts:primary
      • pr:#45
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The platform

Meet Spectra — the platform powering SDD.

Five moving parts: connectors that ingest from the tools your team already uses, an immutable log that holds every artifact, a typed entity layer for decisions and risks, a retrieval layer that fuses keyword, vector, and graph, and agent runs that log every model call. Below: sample artifacts flowing through the pipeline in real time.

commit abc123 → loggedzoom/apr-14 · 127 utterances@roger approved scope47 events normalizeddecision extracted ✓3 risks flaggeddigest ready for @nateDEC-019 → regression scaffoldkimberly asked 'status?'

Built for your compliance posture

  • FERPA-aware defaults
  • Encryption at rest and in transit
  • Row-level security in Postgres
  • Audit-log retention · 7 years
  • Continuous compliance monitoring
  • Your tenant · your compliance posture

Incident recovery

Incident recovery is designed in, not bolted on. Every extraction runs through verifier agents first — deterministic checks plus an LLM reviewer for semantic soundness — so most misfires never reach the live data. If one slips through, we truncate the affected projection, fix the agent or the verifier, and re-run from the event log. Source-of-truth events stay intact and every derived entity (decisions, risks, tasks, concepts) rebuilds from them: no lost history, no manual fix-up, no silent drift.
Running on SDD today

Three programs. Three stakeholder shapes. One substrate.

A multi-year research partnership, a public-facing higher-ed data product, and a healthcare compliance platform — three very different stakeholder shapes, all running on Spectra today. Named clients and artifact walkthroughs available on the Zoom.

  • Stanford Solutions Science Lab

    Research / Academia

    Active · 4+ years · inherit → maintain → rebuild → maintain

    Four-year cycle, one faculty team, zero disruption.

    End-to-end technical partner for Our Voice and CORD. An 8-engineer autonomous squad in Pune works with the California faculty team on one team — the four-year inherit / maintain / rebuild / maintain cycle is the canonical continuity proof for SDD.

    Years active
    4+
    Engineer squad
    8
    Products live
    2

    Agent roster

    • pm-agent
    • tech-lead
    • frontend-dev
    • mobile-dev
    • qa-engineer
    • code-reviewer

    What this proves

    The canonical SDD continuity case — multi-year research program, faculty stakeholders, inherited legacy rebuilt to V2.

  • Georgetown University · Center on Education and the Workforce

    Higher education · labor-market data

    Active · currently building + ongoing maintenance

    Credential-to-jobs data viz for Georgetown University.

    Georgetown University’s Center on Education and the Workforce — building public-facing data viz that maps educational credentials to labor-market outcomes across 55 U.S. metros. SDD runs the full program on Spectra: a seven-agent roster with named owners, 34 decisions logged to-date, weekly digests to the client-side program lead replacing status email entirely.

    Named agents
    7
    Decisions logged
    34
    Metros covered
    55

    Agent roster

    • pm-logger
    • feedback-digest
    • tech-lead
    • frontend-dev
    • dataviz-dev
    • qa-engineer
    • code-reviewer

    What this proves

    Active higher-ed engagement — public data product, multi-reviewer verification, weekly cited digest to the program sponsor.

  • Sapey · care-coordination platform

    Healthcare · residential care

    15K families · Phase 2.1 in production

    From kickoff to stakeholder demo in three weeks on Spectra.

    Roddy Radnia’s care-coordination-and-compliance platform for residential care facilities, serving 15K families. SDD ran the build from day one on Spectra — PM, UI, and UX agents scoped per-scene, 30 decisions logged with rationale, session logs per contributor, zero status emails.

    Families served
    15K
    Decisions logged
    30
    Days to first demo
    23

    Agent roster

    • pm-agent
    • ui-agent
    • ux-agent

    What this proves

    The fast-ramp proof — a healthcare compliance product stood up on Spectra in weeks, not quarters.
The engineering philosophy

AI-native engineering, with guardrails.

SDD is the methodology. This is the engineering philosophy every BetaCraft engineer runs on — codified, measured, and published in our internal handbook. Every engagement inherits it from day one.

“We don't just use AI to code faster — we use it to code better. Our systems make velocity repeatable, measurable, and improvable.”
BetaCraft Engineering Team · AI Engineering Principles

  • Guardrails, not guesswork

    Context files

    A powerful AI without process is a race car without a steering wheel. We build digital guardrails — codified context files covering architectural standards, API design, code quality, UI patterns, and security — that every AI interaction is constrained to before it writes a single line. Rules are enforced more rigorously and automatically than humans ever could alone.

  • Closed-loop validation

    50–60% productivity-gain target

    Design, code, test, and review are one continuous AI-augmented loop. Test agents generate RSpec and Playwright suites automatically from user stories. Gemini Assist runs first-pass code reviews against our guardrails inside CI/CD, catching style violations, security gaps, and coverage holes. Human tech leads focus on business logic and architectural intent. Every engagement is benchmarked against a 50–60% productivity-gain target, measured sprint-by-sprint and reported monthly — methodology and raw numbers shared with the client, not just the headline.

  • Multi-reviewer verification

    3 critics per output

    Every state-mutating agent output faces independent critics before it reaches the source of truth — two reviewer agents with different prompts and different base models, plus a decision agent that consolidates. A confidently-wrong claim has to survive all three. Every verdict is logged, re-runnable, and cost-bounded.

  • Ops as a quiet agent cluster

    Human-owned · AI-assisted

    Provisioning, deploys, schema migrations, observability, and compliance posture run as a cluster of specialized agents — each scoped to one job, each gated by a named human owner. Most stakeholders never need to see them; that is the point. Compliance evidence (SOC2, HIPAA, FERPA controls) accrues continuously through Vanta-style automation rather than scrambling for the next audit. Ship velocity and audit posture stop trading off.

  • The L2 AI-enabled engineer

    Up to 100% productivity gain

    We have moved past the Junior / Mid / Senior ladder. Every BetaCraft engineer is trained to the L2 standard: a classical expert who masters AI tools to orchestrate agents at a sustainable velocity no traditional L1 or no-code L3 builder can match. Soloist becomes conductor. Progression is formal — 10–15% gain at autocomplete, 25% at function drafting, 40% at file-level refactoring, up to 100% at multi-file agentic workflows.

Swipe or use arrows to explore all four.
What we stand for

Three principles we do not compromise on

  • Transparency & observability

    Every answer is cited back to the source events that produced it — a provenance chain from claim to message to author. Every agent run is observable: trigger, inputs, outputs, tokens, cost, duration, logged to the agent_runs table and replayable on demand. If we do not know something we flag a TBD — honest by default, no stretched numbers, no silent failures.

  • Interoperability & composability

    Native tools stay native. GitHub stays GitHub, Slack stays Slack, Gmail stays Gmail. SDD unifies the story underneath by normalizing every artifact into one shared history — so the tools your team already trusts keep working, and the truth under them is one truth, not five. Agents are narrow, sessions are bounded, decisions are logged. Every derived entity is regenerable from the event log. Small reversible moves over big-bang rewrites.

  • Portability & sovereignty

    The repo is yours on day one. The Postgres instance runs in your tenant under your compliance controls. Agent specs, event schema, and migration history live in the repo you own. BetaCraft builds, hosts, and operates Spectra on your behalf — monthly methodology review, quarterly model upgrades. If you bring it in-house, exit in 60 to 90 days with parallel operation and training. Zero lock-in, no exit penalties.
What you walk away with

Every SDD engagement produces this.

Four to six weeks after kickoff, here is the concrete package you keep — whether you renew with BetaCraft or bring it in-house.

The first 30 days, week by week

Every week has a concrete result a sponsor can show. No dark matter between kickoff and the board deck.

  • Week 11 of 4

    Kickoff + connector setup

    We scope one narrow problem with you, stand up the Spectra instance in your Azure, AWS, or GCP tenant, and wire Slack, GitHub, Gmail, Zoom, Figma, and Docs through Nango. No credentials on any laptop.

  • Week 22 of 4

    First digest lands

    The event log starts ingesting. Sunday 10 PM the weekly digest goes out automatically — per-stakeholder briefings land in inboxes with every claim cited. First signal that the status-update email is now obsolete.

  • Week 33 of 4

    First full session loop

    Team members open the project folder in Cowork, read the catchup, work, close the session. The plugin commits with name prefixes, pushes, and notifies the backend. Decisions and risks start accumulating in the typed entity tables.

  • Week 44 of 4

    Review + adjust

    We look at what the substrate caught and what it missed. Agent prompts get tuned, the event taxonomy gets adjusted if needed, and we ship a first-pass walkthrough deck ready for a board or sponsor committee.

1 / 4

  • A live Spectra instance on your cloud

    Event log, Postgres index, pgvector, agent runs table — running in your Azure, AWS, or GCP tenant under your compliance controls. Yours to inspect, audit, and extend.

  • One program governed end-to-end

    One initiative — across Slack, GitHub, Gmail, Zoom, Figma, and Docs — indexed and queryable. Every decision, risk, and task on the program is cited back to source events.

  • Board-ready walkthrough deck

    A deck that shows Spectra, the stakeholder surfaces, the agent roster, the governance controls — annotated with screenshots from your live program. Ready to present to a sponsor, CIO, or board committee.

  • A hand-off path, on paper

    Written runbook for operating the instance: event taxonomy, agent spec templates, migration process, incident rollback. If you bring it in-house, we train your team over 60 to 90 days with parallel operation.
The 60-second version

Who is BetaCraft

BetaCraft is an AI-native product engineering firm — agents ship code alongside humans on every engagement. Led by founder Ratnadeep Deshmane and partner Mayuresh Soni — both serial founders who built, scaled, and exited digital products before joining forces at BetaCraft. We run digital transformation for enterprises, research universities, and mission-driven institutions across education, philanthropy, research, healthcare, fintech, civic tech, and aerospace.

Our active SDD programs span Stanford Solutions Science Lab (Our Voice, CORD), Georgetown University’s Center on Education and the Workforce (credential-to-jobs data viz across 55 U.S. metros), and Sapey’s care-coordination platform — spanning research, civic, and healthcare sectors. Points of contact are named and accountable: Mayuresh Soni as engagement lead, Ratnadeep Deshmane as tech lead.

Our engineers slot directly into your delivery process — PI planning, CAB reviews, procurement gates, security and vendor-risk review — and rewire it from the inside. Six-week discoveries compress to two. Quarterly release trains compress to weekly. Your internal team gets faster without getting bigger.

That is Stakeholder-Driven Development. Every person on the project team moves the build forward directly, not just the engineers. PM writes a spec, agents scaffold the tickets. Designer drops a Figma frame, agents wire the component. Domain expert types a question in plain English, gets a verified answer from the shared substrate. Engineers do engineering; everyone else stops waiting on a ticket and starts shipping.

How this differs from using Claude directly: Claude ships horizontal, domain-agnostic tools — coding agents, design surfaces, general-purpose primitives that work for anyone. We build specialized agents scoped to your problem. Our agentic layer sits on top of Claude, inherits your business goals and domain context, and ships an outcome Claude on its own cannot.

SDD is that operating model, codified — Nate Wilken named it when the pattern first surfaced. Spectra is the platform we built internally to run SDD across every engagement. You are talking to the firm that authored the methodology, not one retrofitting AI onto a 2019 playbook.

Clients served
50+
Projects completed
150+
Industries
10+

BetaCraft at a glance

The facts, not the pitch.

Built to last, not to flip. Self-funded since 2019, 30%+ EBITDA, and the margin to pick engagements we can fully own. Size is not the metric; per-sprint throughput is.

On-time delivery
95%
EBITDA margin
30%+
Funding
Self

Compliance experience

We are not a certified entity — we build products that pass our clients’ audits. BetaCraft engineers have shipped into these regulatory regimes end-to-end: requirements mapping, control implementation, audit support, remediation. Your certification posture stays yours — Spectra deploys into your already-certified tenant.

  • FERPA — built for

    HeuriSight, Stanford, CodePath — production traffic under client FERPA review

  • SOC 2 Type II — built for

    DevSecOps stack (SonarCloud, Vanta, New Relic) wired into client certifications

  • HIPAA — built for

    Mocingbird telehealth and OrthoAi dental imaging — passed client HIPAA audits

  • FDA food-safety — built for

    Suntory food-compliance automation in production

Teams and organizations we have built for

We have built platforms, AI tooling, and full products for partners across education, philanthropy, research, healthcare, fintech, civic tech, and aerospace. The list below is a partial cross-section — some engagements are under NDA, some are pre-launch — and every logo here is work we can walk through on a Zoom.

  • iSoftpull
  • GreenFig
  • Teplo
  • CodePath
  • Programination
  • Gates Foundation
  • Stanford University
  • Ziplines
  • Skyryse
  • Georgetown University
  • Ashoka Changemakers
  • Intel
  • iSoftpull
  • GreenFig
  • Teplo
  • CodePath
  • Programination
  • Gates Foundation
  • Stanford University
  • Ziplines
  • Skyryse
  • Georgetown University
  • Ashoka Changemakers
  • Intel
50+Clients served25M+Active users reached95%On-time delivery

What we're asking for

  • Free POCno fee, no commitment
  • Fixed-fee pilotscoped on the Zoom, after the free POC
  • 4 – 6 weeksone narrow problem, end-to-end
  • Your cloudAzure or AWS, your tenant, your repo

Quick answers before you book

  • Who owns the data — BetaCraft or you?

    You do. We build on your cloud — Azure, AWS, or GCP, your choice — in your tenant, under your compliance controls. The repo is yours from day one. The Postgres instance is yours. The agent specs are yours. The event log is yours. If you bring it in-house later, we hand off with 60 to 90 days of parallel operation and training. No lock-in, no exit penalties.

  • How much does a POC cost?

    Two different things. A POC is free — no fee, no commitment, 4 to 6 weeks. You bring a narrow problem; our agents build a working slice; then we talk. A pilot is the paid engagement that comes after — fixed-fee, scoped on the Zoom once we have seen the shape of the problem. Because every engagement has a different stakeholder shape, surface area, and compliance posture, we quote the exact pilot number on that same call. Managed services after the pilot scale with surface area (programs, stakeholders, connectors) and are quoted on the same call.

  • What do I install on my laptop?

    On your laptop? Nothing to manage. You install one Claude desktop plugin and sign in with whatever SSO your team already uses (Azure AD, Google Workspace, Okta, or SAML). That is it. Your admin has already connected Slack, Gmail, GitHub, and the rest on the backend — no service tokens pasted on your machine, no per-tool SDKs, no OAuth flows for you. Lose your laptop? Sign in from a new one and everything is there, because the connections live server-side. (Under the hood: one MCP, one bearer token, every credential encrypted in the backend.)

One Zoom. No prep needed from you.

No fee, no commitment. You bring one bounded problem. Our agents build a working slice in 4 to 6 weeks, on your cloud (AWS, Azure, or GCP), under your compliance controls. Fixed-fee pilot pricing — we quote the exact number on the Zoom once we have seen the shape of the problem.

Email us directly

Host: Mayuresh Soni. POC replies handled directly. Scope call on Zoom once we have seen the problem.

This page was built on SDD, run through Spectra — by eleven specialized agents under human review.