Engineering the deterministic data layer for hardware manufacturing.

We turn fragmented datasheets into clean, validated component records that every team downstream can trust.

Discover our platform
What we do

Hardware teams still copy spec values out of PDFs by hand. The mistakes show up months later as scrap, respins, and fire drills.

01.

Extraction

PDFs, tables, symbols, limits. All parsed into structured fields with source citations. >94% accuracy.

02.

Intelligence

Flag lifecycle risk, spec mismatches, and sourcing issues early, with ranked alternates when parts are constrained.

03.

Integration

Push validated records into PLM workflows and auto-generate change packages with clear before/after traceability.

See exactly how Niyam works in production.

We do not just classify documents. We extract, normalize, validate, and trace every critical field so teams can make faster decisions with fewer downstream failures.

Extraction Pipeline
1Parse2Validate3Push
TPS709_datasheet.pdf
Part NumberTPS70933DBVR
PackageSOT-23-5 (DBV)
Vin Range2.7 V to 30 V
Vout3.3 V fixed
Iout Max150 mA
Thermal PadN/A
Op. Temp−40 °C to 125 °C
Structured Record
Validated
PackageSOT-23-5 (DBV)
Voltage In2.7 V – 30 V
Voltage Out3.3 V fixed
Temp Range−40 °C – 125 °C
LifecycleActive
Confidence97.2 %
TPS70933DBVR12 citations

Extracted Record

Validated

Package

SOT-23-5 (DBV)

Voltage In

2.7 V – 30 V

Voltage Out

3.3 V fixed

Temp Range

−40 °C – 125 °C

Structured fields with source citations replace manual copy-paste.

Risk Alert

Supply Risk
27 parts flagged
Spec Mismatch
4 critical deltas
Lifecycle
9 parts NRND

Spec mismatch and lifecycle issues surface before BOM freeze.

Change Package

FieldBeforeAfter
Thermal85 °C105 °C
Voltage3.3 V max3.6 V max
FootprintQFN-48QFN-48 rev B

Engineering changes with traceable diffs and approvals.

Extensible Modules

Built on one unified data foundation. Start with one capability, expand as your workflows evolve.

Datasheet Extractor

Transforms unstructured PDFs into validated, structured component data with >94% accuracy.

BOM Risk Engine

Real-time lifecycle, sourcing, thermal, electrical, and spec-mismatch alerts with direct PLM integration.

Intelligent Alternates

Ranked, traceable replacement options based on compatibility, availability, cost, power, and footprint.

Change Package Generator

Auto-generated Engineering Change Orders with diffs, citations, and full traceability.

RFQ Extractor

Instant extraction of requirements, attributes, and constraints from RFQs — accelerating sourcing cycles.

Compliance Pack Builder

Auto-compile compliance, safety, and validation documentation from validated component attributes.

Production Results

Tested where the stakes are real.

Running in Tier-1 environments across complex component families. One wrong spec at this scale means seven-figure consequences.

>94%

Extraction accuracy

2–4

ECO loops removed per program

$2.4M+

Value delivered since Sept

8–32x

Typical ROI multiple

Tier-1 ODM — Taiwan

$32B+ global EMS provider

Two active pilots across multiple component families and vendors. Production-grade accuracy on live datasheets. Weeks cut from NPI per program.

>94%

Accuracy

2–4

ECO loops cut

Months

Eng. time saved

Tier-1 OEM — Fortune 10

High-volume US hardware manufacturer

Pre-tooling, Niyam caught a thermal spec misinterpretation headed for the factory floor. One catch paid for the entire deployment. Review cycles dropped from weeks to days, with no process changes required.

Per-site impact for Tier-1 manufacturers

$40M+ leaked per site, per year

Conservative slices of typical COPQ (1–3 % of site revenue). A 10-site Tier-1 leaks ~$400M+ annually.

$10M

Engineering

Redesigns, delayed launches, weeks of debugging. All because a spec was wrong upstream.

$8M

Sourcing

Emergency part buys, EOL surprises, inventory write-offs. Preventable with earlier visibility.

$22M

Manufacturing

Scrapped boards, failed tests, rework. Mismatched component data is usually the root cause.

One thermal mis-interpretation catch prevented a scrap and launch delay that would have cost millions. It paid for Niyam in a single build.

Engineering Lead, Fortune 10 OEM

Our Company

We watched engineers waste weeks on work that should take minutes. So we fixed the data layer.

Niyam does one thing well: turn unstructured datasheets into clean, validated component records. When that layer is right, every decision built on top of it gets better.

We're deployed in pilot and production environments with Tier-1 organizations where one bad spec can cost millions.

Step 1

Pilot scope

Choose one component family and target measurable outcomes in 90 days.

Step 2

Workflow integration

Plug validated records into your existing PLM and engineering tools.

Step 3

Scale rollout

Expand to additional lines and plants. Same data model, same accuracy.