hikmahtechnologies.com valid
Hikmah Technologies
Production AI on your own data — lean data platforms and approval-gated AI workflows, internals public
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://hikmahtechnologies.com/llms.txt
- Sections
- 8
- Links
- 126
- Size
- 38782 bytes
- Registered
- 2021-11-09
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-27T15:49:37.840Z
- Last checked
- 2026-10-27T15:49:39.768Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T15:49:37.854Z. Cached copy · Source on hikmahtechnologies.com
# Hikmah Technologies
> Production AI on your own data — lean data platforms and approval-gated AI workflows, internals public
Arshad Ansari is a solo data and AI engineer based in Navi Mumbai, India, working with
B2B SaaS and product companies worldwide (30–200 people, zero to three data people, no
senior platform owner). The practice sells one thing: production AI on your own data —
the data-engineering rigour that makes an AI workflow trustworthy, built by the person
who will also operate it. Engagements run $3,000 for a fixed-price audit to $15–40k for a
full build, against the $150–200k senior hire that is the usual alternative.
What makes the claims checkable: the internals are public. 3 systems I built and run are documented
with real numbers rather than case-study prose — 4,912 pipeline partitions at
99.9% success, and, in the archived open-source AEGIS v1, 49 workflow types over
72 permission-gated tools, where every risky action stops for approval before it runs.
## Start here
- [Home](https://hikmahtechnologies.com/): The position, the proof numbers, and who should not hire me
- [Data Engineering Consultant](https://hikmahtechnologies.com/fractional-data-engineer/): The data half: what an independent, fractional data engineering consultant does, costs, and when to hire full-time instead
- [AI Automation Consultant](https://hikmahtechnologies.com/ai-automation-engineer/): The AI half: shipping LLM workflows that survive production, and the alternatives to hiring me
- [DuckDB consulting](https://hikmahtechnologies.com/duckdb-consulting/): A fixed-price, one-week assessment of whether a workload fits DuckDB, with the full production-fit checklist published on the page
- [How I work](https://hikmahtechnologies.com/how-i-work/): Scoping, pricing, communication and what I expect from a client
- [FAQ](https://hikmahtechnologies.com/faq/): Direct answers on rates, contracts, timelines and working across time zones
## Free and ungated — no email required to read
- [Data Platform Teardown](https://hikmahtechnologies.com/data-platform-teardown/): The 18 checks from the $3,000 audit, published in full
- [AI Workflow Teardown](https://hikmahtechnologies.com/ai-workflow-teardown/): 17 questions to ask before an LLM workflow is trusted in production: control, reliability, cost, trust
- [Warehouse cost calculator](https://hikmahtechnologies.com/snowflake-cost-calculator/): Estimate your warehouse spend against a lean rebuild before committing to an architecture
- [Your Snowflake warehouse may never be sleeping](https://hikmahtechnologies.com/idle-warehouse-calculator/): The finding, the arithmetic and the SQL: a warehouse queried faster than its auto-suspend window never suspends, is billed as always-on, and looks correctly configured
- [Send me your cost export](https://hikmahtechnologies.com/send-your-cost-export/): Send a Snowflake cost export and get a written reply naming what to investigate first — free, no call
- [warehouse-teardown](htt
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