Bhardwaj & Sons
We build the methodologies, the libraries,
and the audits by which the next century of
intelligent systems will be measured.
Founded May 2026 · Melbourne · Trust-owned
Heritage
The name carries a weight we did not invent. The Bharadvāja gotra is one of the seven brahmanical lineages of the Vedic tradition, traced to the rishi who composed many of the hymns of the sixth maṇḍala of the Ṛgveda.
We claim no inherited authority from this. The house was founded in 2026 by the modern Bhardwaj family in Australia, owned through a private trust, and operates under the standards we set ourselves. The lineage is on the wall to remind us what the work has to live up to — not to substitute for it.
Composed many hymns of Ṛgveda Maṇḍala VI. The lineage from which the family takes its name.
Dharmaśāstra text in the lineage, codifying conduct that rests not on assertion but on evidence.
Founded as a private trust by the Bhardwaj family. First work: a public falsification methodology for retrieval and ranking systems, released open-source.
First Work
Retrieval and ranking systems today are graded on a method that cannot tell a real ranker from a predictor that just exploits the gold-label distribution. We built the patch.
The library is small. The discipline behind it is not. It implements a four-test gate where the standard pipeline uses three — and the fourth catches a class of false positives the field has been silently accepting for years. It is open-source under the Apache 2.0 licence so it can become a standard rather than a product.
Validated at ten thousand queries on an independent corpus. The complete library, the benchmark suite, and the preprint are public:
House Standards
Four discipline-rules under which every piece of work the house ships is built. They are not aspirations. They are the conditions of the brand.
The methodology is free, public, and citable. The implementation may be private; the standard never is. Free is the moat.
Every claim survives the four-null gate before it leaves the house. If a result will not survive verification, it is not shipped.
Every public artifact has a one-command demonstration. Trust is built on what the audience can prove, not on what we assert.
Heritage is a debt to the past, not a credential. The house signs no work it did not build.
Method of the House
Four texts shape how we work. They are roughly two thousand five hundred years older than us. We did not choose them to look ancient. We chose them because the principles inside them are what good engineering already does, named correctly.
"You have the right to action only — never to its fruits."
We ship the work and let time decide its outcome. Forecasts and valuations are not the measure; whether the work survives verification is. This is why every artifact we publish has a thirty-second demonstration anyone can run, and why we never ship a claim before the proof.
Sāma, dāna, bheda, daṇḍa — escalate in this order, never reverse.
Begin every relationship — customer, collaborator, critic — at sāma: shared interest. Escalate to dāna (concession) only when shared interest is exhausted. Bheda and daṇḍa are last instruments because they are most expensive. The house has never opened with force, and never will.
"Let noble thoughts come to us from every direction."
The work is open-source by design. We accept correction from any source — graduate students, regulators, hostile reviewers, anonymous internet commenters. The point is for the methodology to become better than its author. Authorship is a debt to the work, not an entitlement to it.
"Truth alone triumphs — not falsehood."
We commit to never publishing a claim that we do not believe will survive falsification. When our own results fail to survive, we publish that too. The first work shipped by the house publicly retracted its own pre-fix numbers; that retraction is what earned the validated numbers their weight.
Engagements
We do not bill by the hour. We do not negotiate scope mid-engagement. We accept a small number of clients per quarter so the work that leaves the house carries the standard the brand requires. The figures below are the figures.
I — The Audit
From AUD $120,000 · 4 weeks · fixed
A four-week falsification audit of your existing evaluation pipeline. We apply the four-null gate, isolated-baseline panel, and bench-bias diagnostic to your live system and tell you which of your published numbers will survive third-party verification — and which will not.
Payable 50% on signature, 50% on delivery.
II — The Pipeline
From AUD $280,000 · 8–12 weeks · fixed
We design and ship the evaluation infrastructure your team will run for the next two years. Custom corpora, custom null hypotheses calibrated to your domain, custom dashboards. Built to your stack, owned by you, audited by us against the same standards we hold ourselves to.
Payable in three milestones: signature, mid-build, delivery.
III — The Standing Retainer
From AUD $240,000 · per year
One named partner of the house on retainer for the year. Quarterly review of every public claim before it leaves your team. First-call access for any claim under contestation. Renewable annually, never auto-renewing.
Annual, paid in advance. We accept a maximum of six retainers.
IV — The Retrieval Engine
From AUD $320,000 · 10–14 weeks · fixed
We design and ship a production-grade retrieval engine for your specialist corpus — legal, medical, financial, scientific, or any proprietary domain. Built on the Vāk-Kaṇaja architecture: three-channel φ-RRF (semantic + lexical + domain-specific), Docker-deployed, OpenAI-compatible API. Benchmarked against BEIR baselines using the four-null gate before delivery. The engine belongs to you; the methodology stays open.
Payable in three milestones: signature, corpus-build, delivery.
V — The Output Architecture
From AUD $180,000 · 6–8 weeks · fixed
We design the prompting architecture that forces your LLM stack into verifiable, schema-compliant outputs — and prove it holds across model scales. Built from the Ākāśa Pantheon framework: schema definition, system-prompt hardening, parse-time verification, and an empirical adherence benchmark across your model fleet. The finding that format adherence is non-monotonic in model scale is not a curiosity — it is a production risk most teams discover too late.
Payable 50% on signature, 50% on delivery.
VI — The Corpus Infrastructure
From AUD $220,000 · 6–10 weeks · fixed
We ingest, clean, embed, index, and serve your proprietary knowledge base at production grade. Any format, any language, any domain. The universal corpus adapter handles YAML-declared ingestion pipelines; FAISS indexing with int8 ONNX encoders for sub-100ms query latency; reproducible corpus state locked by SHA-256 hash and git-commit integrity. The result is a queryable artifact store your engineering team owns and can extend independently.
Payable in three milestones: signature, ingestion-complete, delivery.
VII — The Scale Audit
From AUD $140,000 · 4–6 weeks · fixed
We empirically audit how your AI system's behaviour changes as you move across model scales. Schema adherence, citation accuracy, structured-output compliance, and failure-mode distribution are measured across your model fleet under controlled, reproducible conditions. The finding — that smaller models are more obedient and larger models more accurate, but neither is uniformly safe — is consistent enough to treat as a production constraint, not a research footnote.
Payable 50% on signature, 50% on delivery.
Pricing rationale. The figures above reflect the sole-source premium of a methodology with no comparable alternative in the market. We are not priced against the field; there is no field. We are priced against the cost of shipping false numbers. We do not discount, we do not undercut, and we do not compete on price. The brand is the moat; the methodology is the proof. If the figure is the obstacle, the engagement is not yet ready.
Engagements begin with a thirty-minute fit conversation. The house turns down approximately half of inbound enquiries — most often because the problem is better solved with the open-source library at no charge.
मूल्यं स्वयं दर्शयति · The price reveals itself.Commitment
The house commits a defined share of every commercial contract to deploying AI and agentic tooling at no cost to non-profits, public-sector institutions, and underserved communities — beginning with India and Australia.
The figure, the recipients, and the audited use of the funds will be published annually. We treat the commitment the way the methodology treats a benchmark claim: nothing said that cannot be verified.
This is not a marketing line. It is a constraint we accept on every deal we close. The brand exists in part to protect this commitment from the pressure of growth.