Questions buyers actually ask.

A 30-minute discovery call. You walk through your stack and the business outcome you need; we ask sharp questions and either commit to a fixed-price SOW within 24 business hours, or tell you on the call this isn't a fit and point you elsewhere. Book it here → No fee, no obligation, no pitch deck.

Either take the 5-question find-a-service wizard (60 seconds), or use the rule of thumb: existing SaaS spend you want to consolidate → Upstream. New product, fixed budget → Build. You have a roadmap but no senior team → AI Pod. Want a custom AI agent you own → Agents. Need a written recommendation (not a deck) → Strategy.

Selectively, and only through Build Foundation (B-00, $7K, 1 week). It's designed for founders who haven't validated the business case yet — we test the unit economics before recommending a build engagement. About 30% of B-00s end with "don't build this." That's the point: better to spend $7K finding out than $200K shipping the wrong thing.

Smallest: Build Foundation at $7K (1 week). Typical Upstream rebuilds: $25K–$98K fixed. Typical Build engagements: $60K–$250K fixed. AI Pod retainers: $22K–$52K/month, 3-month minimum. Strategy advisory: $18K–$55K fixed. We don't take pure body-shop / hourly work at any size.

Nothing. 30 minutes, no obligation. You leave with either a scoped SOW within 24 hours, or our honest "this isn't a fit, here's who else to talk to." We don't pitch on the call — we listen, ask sharp questions, and either commit or step aside.

Standard kickoff window is 5–10 business days after signed SOW. Repo is created in your GitHub org from day one, named partner introduced, the discovery memo + week-1 plan are shared. For Upstream rebuilds the first technical commit usually lands within 2 weeks of signed SOW; for Build engagements within 3–4 weeks.

A productized engagement has a published price, a published window, and a published scope — all on the website, before the discovery call. You're comparing apples to apples across our five service lines. A typical fixed-price quote is bespoke per buyer and only becomes "fixed" after a multi-week sales process where scope is invented on the fly.

Hourly billing rewards the vendor for taking longer. Fixed price rewards us for shipping the outcome fast — the pricing model IS the alignment. We absorb the risk of estimation in exchange for a productized scope. The trade-off: scope changes are paid change orders, not free additions. Scope is the lever; time and price are fixed.

We keep working at our cost until the agreed deliverables ship. The fixed price doesn't change. The trade-off (above): out-of-scope changes are paid change orders, not free additions. This is in every SOW.

Typical 3-tier: 30% on signed SOW + repo creation, 40% at functional milestone (mid-build), 30% at production handoff + acceptance. For Build Foundation it's 100% up front (it's $7K, 1 week — no milestones make sense). For AI Pod it's monthly in advance with 3-month minimum. All terms in writing in the SOW.

Yes — USD, GBP, AUD, EUR, SGD invoicing all supported. We invoice in your local currency by default. Wire transfer + ACH (US) + SEPA (EU) + BACS (UK) all work. India clients pay INR via NEFT/RTGS. Detailed banking instructions in the SOW.

INCLUDED: full delivery (engineering, design, architecture, deployment), code in your GitHub from day one, 90-day defect warranty, decision logs + handoff documentation, weekly demos. NOT INCLUDED: cloud infrastructure costs (you pay AWS / Cloudflare / Anthropic directly — no markup), third-party SaaS subscriptions, content / copy / legal advice, post-warranty ongoing changes (offered separately as Managed Upstream or AI Pod retainers).

Yes — there are 5 published combo bundles (e.g. B2B SaaS stack rebuild, D2C stack rebuild, Sales-ops stack, Data-ops stack, HR-ops stack) that bundle 4–7 single-tool rebuilds at a meaningful discount vs buying each individually. See the pricing page for current combos.

No formal volume discount on individual fixed prices — every published price is the real price. But: combo bundles already discount (above). And clients running multiple engagements in parallel get the same partner + bench continuity, which usually reduces their internal coordination cost more than any sticker discount.

Frame, Outline, Rebuild, Govern, Engage — the five gates every productized engagement passes through. Frame defines the business metric. Outline writes the scope + architecture. Rebuild ships against weekly demos. Govern instruments + audits. Engage hands off + supports for the 90-day warranty. Skip a gate and the productized model breaks. Full method →

Monday: written status memo + week's plan in your GitHub or Slack of choice. Daily: commits to your repo (you can see exactly what shipped each day). Wednesday: 30-min mid-week sync if anything needs unblocking. Friday: live demo of what shipped that week + brief next-week plan. Async-first by default — most sync time is the Friday demo.

Every engagement has a named partner (full accountability, attends every demo) plus the assigned senior engineers (typically 1–3 depending on engagement size). Both are introduced before kickoff. If anyone needs to roll off mid-engagement we replace with continuity (named partner stays through handoff regardless). Personnel changes are rare and the SOW guarantees continuity at the partner level.

Documented + signed change orders, fixed-price for the delta. No surprise invoices. If it's clearly within the spirit of the original SOW we absorb it; if it materially expands scope we send a written change order with the additional fee + window. You approve or we don't do it.

90 days from production launch. Any defect that prevents the system from doing what the SOW said it would do gets fixed at our cost. Out-of-scope changes during the warranty window remain paid change orders. After 90 days we offer continuous improvement under Managed Upstream (Upstream rebuilds) or AI Pod retainers.

Named partner is the first line — they're on every engagement and reachable directly. CEO escalation available within 24 hours if the named partner is unreachable. Severity tiers: P0 (service down) — response within 1 hour. P1 (degraded) — 4 hours. P2 — 12 business hours. P3 — next sprint. Documented per /security.

You do — from commit one. Every repository is created in your GitHub organization at kickoff. We push directly. There is no Allied BizTech-hosted code, no vendor lock-in, no escrow needed (though escrow is available as an add-on). Our methodology playbooks, prompt libraries, and internal SOPs stay with us. The client-specific implementation is yours.

We reuse architectural patterns, prompt libraries, internal SOPs, and our FORGE methodology. Client-specific business logic, schemas, copy, brand — all bespoke to you and yours. We don't copy-paste between client repos. The shared foundation is open-source standard tools (React, Astro, Postgres, Anthropic / OpenAI SDK, etc.) configured to our preferred defaults.

We do, during the build. Every dependency added to your repo is logged with its license type (MIT / Apache 2 / BSD-3 are our defaults; we avoid GPL family unless the client explicitly wants it). A LICENSES.md ships with each repo at handoff. If a license forces obligations on your distribution model, we flag it before adding the dependency.

No. The whole point of our model is the opposite of lock-in. Every choice (cloud provider, hosting, AI vendor, monitoring) is yours; we recommend defaults but you control billing and credentials. The Cloudflare Worker we use for our own forms doesn't apply to your builds — your code runs on your infrastructure on your accounts.

Available as an add-on, not the default. Three-party escrow with NCC Group / Iron Mountain / EscrowTech, quoted per engagement (typically $2K–$5K setup + annual fee). Most clients don't need it because the code is already in your own GitHub from day one — escrow is for the edge case where you want a neutral third party to hold a snapshot.

NDA in every SOW. BAA on file before kickoff for HIPAA engagements. Least-privilege IAM. Encryption at rest (AES-256) and in transit (TLS 1.3). Audit logs on every privileged action. Annual security training for every engineer. Verified pattern across 14+ healthcare and 7+ financial-services clients. /security has the architectural defaults.

ISO 9001:2015 — certified, audit-firm verified. SOC 2 Type II — audit-ready (architectural defaults are SOC 2-aligned; formal audit quoted separately if your engagement requires a fresh attestation). HIPAA — BAA-eligible, PHI flow modelled in week 1 of healthcare engagements. PCI-DSS — payment flows default to tokenized via Stripe / Adyen / Razorpay (cardholder data does not transit our build unless explicitly required).

Data residency is architected per engagement based on your buyers. EU client → EU-hosted defaults (Frankfurt, Dublin). UK client → UK-hosted (London). US client → us-east-1 or us-west-2. India client → ap-south-1 (Mumbai). Singapore → ap-southeast-1. Cross-border transfers (e.g., engineering team in India touching EU data) are covered by Standard Contractual Clauses in the DPA. GDPR / UK GDPR / DPDP / CCPA all addressed per jurisdiction in the SOW.

Mix. ~50 full-time core engineering team in India + ~100 specialist consultants across India / UK / Australia. Every engagement is staffed by the right mix for the work — the named partner is always full-time staff. For sensitive engagements (healthcare, BFSI, defence-adjacent) we staff full-time-only on request, at no additional fee.

72 hours to client + supervisory authority on breaches where regulation requires (GDPR Art. 33, DPDP §8(6)). Sooner if material risk to data subjects. Written RCA within 5 business days — timeline, root cause, customer impact, remediation, what changed so it doesn't happen again. On-call rotation: named partner accountable, CEO escalation within 24 hours.

We build SOC 2-aligned (encryption, IAM, audit logging, secrets vaulting) by default. A formal SOC 2 Type II attestation requires a 6–12 month observation period with an external auditor — we don't issue attestations ourselves but we engage your chosen auditor (BDO / Deloitte / smaller specialist firms) and provide the evidence + controls documentation. Quoted separately from the build (typically $25K–$60K for the audit firm).

Secrets never touch our laptops or repos. Production credentials live in your AWS Secrets Manager / Cloudflare Secrets / Doppler / Vault — we get scoped access only for the duration of the engagement, with audit trail. Local development uses your sandbox credentials issued by you. At engagement end all our access is revoked same-day; you keep the audit log.

Yes. After the discovery call, if you want to verify our story, we'll arrange a 20–30 min call with one or two current clients matched to your sector / engagement profile. We don't hand out a "reference list" cold (respecting our clients' time) — we make introductions when the conversation is serious.

Upstream = you're paying for an existing SaaS tool and want to rebuild that capability on direct vendor billing (Salesforce, HubSpot, Datadog, Harvey AI, Klaviyo, etc.). Build = you're shipping a new product that doesn't exist yet. Rule of thumb: if a published Upstream tile (24 single-tool rebuilds) matches your situation, Upstream is faster and cheaper. If you need something custom, Build.

When you have a defined product roadmap but no senior engineering team to execute it. AI Pod is senior-bench rental: Solo ($22K/mo, 1 senior), Pair ($36K/mo, 2 senior + partner), Squad ($52K/mo, 4 senior + partner). 3-month minimum, cancel monthly after. Best for: sabbatical cover, hiring-gap bridge, end-to-end ownership of a product line you can't staff.

When you're hitting per-resolution caps with off-the-shelf AI agents (Salesforce Agentforce, Intercom Fin, Zendesk Resolve) and the unit economics break above ~5K resolutions/month. Custom Agents ship in 4–8 weeks at $24K–$42K one-time, $3K–$12K/mo run + token pass-through. You own the agent, no per-resolution SaaS tax.

When you need a written recommendation (memo, not slideshow) on AI readiness, SaaS consolidation, or build-vs-buy roadmap — and you're not yet ready to commit to a build. Three engagements: AI Readiness Audit ($18K, 2 weeks), SaaS Vendor Consolidation ($32K, 4 weeks), Build-vs-Buy Roadmap ($55K, 6 weeks). Output is a written memo with a specific recommendation.

Yes — this is the most common path for larger clients. Strategy memo (4 weeks) frames the decision. Build (8–14 weeks) ships the new product. Managed Upstream retainer kicks in at the 90-day warranty end for continuous improvement. We can pre-scope the stack at the Strategy stage so you're not re-negotiating each time.

India HQ keeps unit economics sustainable. The bench (150+) includes IIM alumni + Fortune 500-experienced technical leads + senior engineers averaging 12+ years. ISO 9001:2015 certified. D&B D-U-N-S 86-431-9607 (verifiable). 250+ clients shipped across 7 countries since 2009. Engagements default to client GitHub from day one — your code stays on your infrastructure. More on US engagements →

UK GDPR + GDPR addressed per engagement. Data residency UK-only on request (London / Manchester regions). DPA includes ICO-aligned controller / processor framing. Invoicing in GBP. Time-zone overlap: 5h with India (full overlap 14:00–18:00 GMT). UK references available — we've shipped 12+ UK engagements. More on UK engagements →

APRA / ASIC awareness baked into build defaults for fintech work. Australian Privacy Act compliance (APP-aligned). Notifiable Data Breaches scheme defaults. AUD-priced engagements. AEDT overlap with India bench = the full Australian working day overlaps with our team (no async-only lag). Most AU clients start with Build (productized D2C / fintech) or Upstream consolidation. More on AU engagements →

Same regulatory family as Australia (Privacy Act 2020, Office of the Privacy Commissioner). NZD-priced engagements supported. NZ-specific market context: smaller volumes but high-quality buyers (B2B SaaS, agritech, healthtech). Time-zone overlap = NZDT through India morning. More on NZ engagements →

MAS-regulated builds: payment-architecture defaults to tokenized flows, audit-grade documentation produced inline. PDPA compliance addressed in DPA. SGD-priced engagements. Singapore data residency on request (ap-southeast-1). Time-zone overlap = ~2.5h with India. More on SG engagements →

Local data residency available (me-south-1 Bahrain or me-central-1 UAE on AWS). UAE Federal Decree-Law on Personal Data Protection addressed in DPA. AED invoicing supported. Time-zone overlap = 1.5h with India. UAE clients typically engage on enterprise digital transformation (financial-services, public-sector-adjacent, large enterprise). More on UAE engagements →

DPDP 2023 addressed per engagement — we publish the only DPDP penalty calculator on the Indian web. GST + TDS handled per Indian statute (we're a registered Indian company — CIN U72900TN2009PTC072281). INR invoicing primary; partial USD invoicing supported for SEZ buyers. Bench across Chennai / Bangalore / Kolkata. More on India engagements →

Yes — 14+ verified healthcare engagements. BAA on file before kickoff. PHI flow modelled in week 1. EMR integration patterns: Epic, Cerner, athenahealth, eClinicalWorks (most recent: wound-care mobile platform with offline-first sync into ECW EMR). De-identification + minimum-necessary defaults. More on healthcare →

BFSI references across UK / SG / IN / US. SOC 2-aligned by default. MAS / FCA / RBI / APRA awareness baked into build defaults. Tokenized payment flows (cardholder data doesn't transit our build). Audit-grade documentation produced inline. Verified pattern: 7+ financial-services clients, including a wealth-tech operator in Singapore + a BFSI subsidiary in India. More on financial services →

The headline reference: an AmLaw 200 firm reclaimed $686K in Y1 replacing Harvey AI with a custom matter-aware retrieval + doc-review stack on direct Anthropic billing — case file. Pattern: matter-aware retrieval, doc-review agents, billable-time attribution. Confidentiality posture exceeds standard (privileged-document handling). More on legal-AI →

Most common engagement profile. Typical pattern: $1M–$10M ARR SaaS with a per-seat or per-event pricing model that's breaking unit economics — we either rebuild the SaaS-billed component on direct vendor billing (Upstream) or ship the next product line (Build / AI Pod). Stack defaults: Postgres, Astro / Next.js, Cloudflare Workers, Anthropic / OpenAI direct. More on B2B SaaS →

D2C brands at $20M–$200M GMV consolidating Klaviyo / Yotpo / Mailchimp / Shopify-Plus app stack. Most reclaim $80K–$300K in Y1. We rebuild the marketing-stack core on direct billing in 4–8 weeks and unify customer data across vendors so retention analysis becomes possible. ASX-aligned brand pattern verified. More on D2C →

Multi-tenant analytics + safeguarding-aware data layer is the most common ask. References across US K-12 + Australian higher-ed. FERPA + COPPA addressed where applicable; safeguarding scopes built into role design. More on edtech →

Pattern: FMCG D2C analytics rebuild typically reclaims 50–70% of the multi-tool SaaS spend within 6 months. Brand-side teams engaging us are usually overseeing the Klaviyo / Shopify / attribution stack with a CMO + a single data analyst. More on FMCG →

Yes — niche but verified. Pattern: real-time score / engagement / loyalty / merch funnel rebuild for sports brands and rights-holders. Cloud-edge architecture (Cloudflare Workers + R2) keeps cost flat through traffic spikes during match windows. More on sports →

Founded 2009 (17th year of operations). 150+ across core team and consultant bench: ~50 full-time engineers + ~100 specialist consultants. ISO 9001:2015 certified, D&B D-U-N-S 86-431-9607, CIN U72900TN2009PTC072281. HQ in Chennai, bench in Bangalore + Kolkata + UK + AU consultant nodes. 250+ clients shipped across 7 countries.

Deliberate. /team explains the reasoning: who's on YOUR engagement gets covered in the discovery call + the SOW (named partner + assigned engineers, with reference-checkable track records). A public-page bio with headshots adds noise without adding accountability. Identity protection of the people doing the work is a side benefit.

Do it. The differentiation is straightforward: at our prices a $250K US-boutique engagement is ~$60K–$90K with us, shipped on the same timeline by senior engineers with 12+ years tenure. The gap is the productivity dividend from AI-paired delivery + India unit economics. We're happy to give references from clients who ran both vendors in parallel.

Five shipped case studies with specifics — $686K reclaimed in 11 weeks (Harvey AI rebuild), 75% manual-task reduction (CRM migration), 8-point win-rate lift (agency bid automation), sub-2-hour clinical documentation, computer-vision classification at production scale. Each has the stack, timeline, and lessons we learned. If a claim on the site doesn't link to a case study, treat it skeptically.

Every senior engineer on the bench is paired with Claude, GPT, or Cursor as a build partner — not as a replacement, as a force multiplier. Measured throughput on identical engagements (same engineer, same problem class, with vs without AI tooling) consistently lands in the 3–5× range. We pass that productivity dividend to fixed prices instead of billing hours. See the FORGE method for the discipline.

Free, no sign-up to use. 10 calculators — DPDP penalty exposure, AI API cost, Build vs Buy, MVP cost, Salesforce TCO, Datadog cost, SaaS stack audit, HIPAA cost, Mobile app cost, AI Agent ROI. You can email yourself the full memo (optional, takes ~10 seconds) — that emails you a PDF version with the full breakdown.

They use published list prices + observed engagement data from our actual builds. The output is the right order of magnitude for a planning decision, not a quote. For an exact quote tied to your stack we run a free 30-min discovery call and send a written SOW within 24 hours.