Deep tech for automotive. Executed.

Deep tech for automotive and EVs — and the specialist AI/ML talent that builds it. Not strategy decks. Working solutions.

What we do

Two practices. One operating principle.

Execution over advice — in the engineering and in the hiring.

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Practice 01

Deep Tech — Automotive & EV

Large-scale e-bus product development from concept to aftermarket, with BMS, diagnostics, functional safety and compliance capability around it.

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Practice 02

Technology Talent Solutions

Specialist AI/ML, Data Science, Data Engineering and Gen-AI hiring for enterprise and BFSI — measured on people who join, not CVs submitted.

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Latest thinking

From the articles desk

Practitioner-grounded analysis of India's EV ecosystem — structural causes, not surface symptoms.

Have a hard problem?

Partner with us or hand it to us — either way, we take it from problem statement to executed solution.

About

Deep tech for automotive & EVs — built to execute

Deep tech for automotive and EVs — buses, trucks, cars, three-wheelers, two-wheelers. Core business: large-scale EV product development, anchored by e-bus programs from concept to aftermarket.

Around that core we build the ancillary systems a serious program needs — diagnostics, compliance infrastructure, data, and trained execution capacity.

Execution first. AI to improve the business incrementally. Deep tech to make the big leaps.

How engagements work

01
Diagnose. Start with data to isolate the structural cause behind the symptom.
02
Design. Build the fix as a work product your team can own.
03
Embed. Transfer the capability so the improvement outlasts the engagement.

Core expertise

  • Large-scale e-bus product development (concept to aftermarket)
  • EV platforms: bus, truck, car, 3-wheeler, 2-wheeler
  • Battery management systems & diagnostics
  • CAN bus & vehicle network analysis
  • Functional safety (ISO 26262)
  • Software process capability (ASPICE)
  • EV battery safety homologation (AIS 156)
  • Automotive quality systems (IATF 16949)
  • Electric commercial vehicle operations
  • Applied AI for engineering & diagnostics
  • Cross-industry technology transfer
  • Technical workforce training & deployment
Standards we work in
ISO 26262ASPICEAIS 156IATF 16949
Services Offered

How we engage

Deep technology for automotive and EV — executed to a working outcome.

01 · Flagship — E-Bus Product Development
Concept to Aftermarket

Large-Scale E-Bus Product Development

End-to-end electric bus programs — one accountable thread from first requirement to revenue service.

CONCEPT & FEASIBILITY ARCHITECTURE & DESIGN PROTOTYPE & VALIDATION HOMOLOGATION INDUSTRIALIZATION AFTERMARKET & SERVICE
Supporting Deep-Tech Capabilities

Each plugs into the flagship program — and stands alone across bus, truck, car, 3W, and 2W platforms.

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BMS & Battery Systems Engineering

Calibration, state estimation, thermal behaviour, and field-failure root cause.

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CAN & Vehicle Diagnostics

Signal-level fault isolation and practical diagnostic databases for service teams.

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Functional Safety & Homologation

ISO 26262 work products, AIS 156 readiness, and defensible safety cases.

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Process & Quality Systems

ASPICE and IATF 16949 readiness, sized for lean engineering teams.

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Electric Commercial Vehicle Operations

Uptime, warranty exposure, charging ops, and TCO for electric fleets.

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Embedded Systems & Turnkey Solutions

Embedded hardware-software development and turnkey system delivery for automotive programs.

02 · Partnered & Independent Solutions
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Client Partnership Programs

Solutions co-developed inside your program, with shared ownership of the outcome.

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Independent Solutions

Products we build ourselves — diagnostic databases, compliance tooling, field-born utilities.

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Solution Productization

Turning one-off engineering fixes into repeatable, scalable assets.

03 · Cross-Industry Collaboration & Execution
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Technology Transfer into Automotive

Adapting proven technology from adjacent industries into automotive-grade solutions.

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SDV & Advanced Technology Enablement

Readiness for SDV, ADAS, and connected mobility — aligning products with where the industry is going.

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Digital, Data & AI

Digital, data, and AI solutions for automotive and ancillary services — analytics, automation, faster work products.

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Execution Capacity & Capability Building

Trained technicians and engineers deployed where programs need hands.

04 · Market Entry & Program Growth

Delivered directly and through a vetted partner network.

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Market Fit & OEM Strategy

Target-OEM mapping and India go-to-market strategy for automotive products.

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Pilot & Local Execution

PoC and MVP programs with OEMs — local engineering coordination and on-ground execution.

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Pre-SOP & Post-SOP Support

Integration, validation, and certification through start of production — and scaling beyond it.

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Domestic Value Addition

Localization programs that raise domestic content and unlock India sourcing advantages.

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Business Support Solutions

Non-core automotive services that keep the business running — so programs stay focused on the product.

Not sure where your problem fits? Get in touch — describe the symptom, we'll find the cause.
Technology Talent Solutions

We don't measure CVs submitted. We measure people who join.

Specialist hiring for AI/ML, Data Science, Data Engineering and Gen-AI roles — pan-India, BFSI-ready, onsite / hybrid / remote.

AI / MLDATA SCIENCEDATA ENGINEERINGGEN-AIPYTHONMLOPS
The problem

The gap isn't in sourcing. It's in screening and joining.

01

Requisitions age

Specialist AI/ML and Gen-AI roles stay open far longer than the rest of the engineering portfolio.

02

Shortlists don't survive screening

Generalist recruiters keyword-match. Your engineers absorb the screening burden.

03

Offers don't become joinings

Offer-to-join drop-off resets a two-month hiring cycle to day zero.

Track record

New company. Not new to this.

Our leadership has built and operated a large-scale technology recruitment organisation serving enterprise and BFSI customers — deliberately without a bench, mobilising sourcing against real demand. Prime Vector is that operating model, rebuilt around a sharper specialisation.

100+

Recruiters in the delivery organisation built

25

Enterprise and BFSI clients served

~2 weeks

Typical requirement-to-closure turnaround

4 days

Fastest closure achieved on a critical requirement

Figures reflect prior leadership experience in building and operating technology talent businesses. They are stated as leadership track record, not as Prime Vector's own historical client base.
What we hire for

Four adjacent skill families

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Python Engineering

Django, Flask, FastAPI, REST APIs, SQL / NoSQL, data processing, AWS / Azure.

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AI / ML Engineering

ML algorithms, Scikit-learn, XGBoost, NLP, computer vision, MLOps, model deployment and monitoring.

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Generative AI

LLMs, RAG, vector databases, prompt engineering, fine-tuning, AI agents, LangChain / LangGraph.

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Data Engineering & Analytics

Spark, Kafka, Airflow, dbt, Snowflake / Databricks, warehousing, BI and dashboarding.

Engagement models

Contract staffing

Deployed on our payroll, fully compliant.

Contract-to-hire

Evaluate on the job, convert on your terms.

Permanent hiring

Direct placement with 90-day cover.

Dedicated pods

A calibrated team, mobilised as one unit.

How we deliver

The delivery engine

Day counts run from a calibrated brief, not from requisition receipt.

D0
Intake & calibration. Role decomposed with the hiring manager. Must-have separated from nice-to-have before a single search runs.
D1–3
Demand-led sourcing. Networks, referrals and passive channels worked against the calibrated brief. No bench recycling.
D3
Dual screen. Technical screen on the actual stack, plus communication, availability and notice-period validation.
D4–8
Interviews & recalibration. Scheduling managed end to end. Feedback closed within 24 hours.
D9–10
Offer & close. Compensation aligned and counter-offer risk assessed before the offer is released, not after.
Most partners close the file at offer release. The offer-to-joining runway is where the risk actually sits.
Our signature commitment

The Joining Assurance Protocol

We are willing to be measured — and contracted — on offer-to-join conversion.

01

Counter-offer risk assessed pre-offer

The offer is built to survive the counter, not tested against it.

02

Weekly candidate touchpoints

Silence between acceptance and joining is treated as a risk signal, not as consent.

03

Notice period verified on proof

Resignation acknowledgement and relieving timeline confirmed in writing.

04

Parallel pipeline for critical roles

A warm backup is maintained until the primary candidate is at their desk.

05

Joining-day confirmation

The requirement closes on confirmed joining — never on submission.

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Reported and reviewed

Weekly funnel reporting, monthly governance review, written into the SLA.

Governance, compliance & risk

Built to clear vendor risk review

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Statutory compliance

PF, ESIC, professional tax, gratuity and minimum-wage compliance, with monthly challan evidence on request.

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Background verification

Education, employment, criminal and address checks through accredited agencies. Scope configurable to your policy.

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Candidate data privacy

Handled under the DPDP Act, 2023 — consent capture, purpose limitation, defined retention and deletion.

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Insurance & indemnity

Professional indemnity and workmen's compensation cover, aligned to your standard MSA.

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Governance cadence

Named SPOC, documented escalation matrix, weekly funnel reporting, monthly SLA review.

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Contracting readiness

MSA, NDA and vendor onboarding documentation prepared and ready to work within your terms.

The ask

Don't take our word for it. Give us the requisitions.

Three to five live AI/ML, Data Science or Gen-AI requirements — run head-to-head against your existing panel, on the same roles, at the same time.

What we bring

  • Initial shortlist within 48–72 hours
  • Screened, calibrated profiles with screening notes attached
  • Transparent, volume-banded commercials
  • Weekly funnel and joining-conversion reporting
  • 30-day replacement cover on every contract placement

What we're not asking for

  • No exclusivity on the requirement
  • No retainer and no upfront fee
  • No minimum volume commitment
  • Payment on joining, not on submission

Share three live requirements.

We'll demonstrate quality, turnaround and joining conversion before anyone talks about scale.

Case Studies

Representative engagements

Selected work, anonymized to protect client confidentiality. Details available in conversation under NDA.

Battery Diagnostics · E2W OEM

Turning scattered BMS field failures into a structured diagnostic protocol

Challenge

Rising warranty claims from inconsistent state-of-charge behaviour, with no way to separate cell issues from calibration drift.

Approach

Categorised failure signatures from field logs and built a tiered diagnostic protocol for the service network.

Outcome

Faster triage, fewer no-fault-found returns, and a reusable failure-signature library.

Compliance · Component Supplier

From audit anxiety to a defensible ASPICE & ISO 26262 roadmap

Challenge

A supplier needed to demonstrate process capability to a global OEM, with no prior ASPICE exposure.

Approach

Focused gap assessment, work products prioritised by audit impact, evidence built into the normal development flow.

Outcome

A credible audit story, a phased roadmap, and internal ownership — not consultant dependency.

Fleet Operations · Logistics Operator

De-risking an electric commercial fleet's uptime economics

Challenge

An operator scaling electric LCVs was losing margin to unpredictable downtime.

Approach

Mapped downtime drivers against telematics data and defined health-monitoring thresholds.

Outcome

A prioritised reliability program and a TCO model now used for procurement.

Representative engagements — replace with live references as they become shareable.
Articles

Analysis from the practitioner's seat

Analysis of India's EV ecosystem — structural causes over surface symptoms.

Full archive on LinkedIn.
Contact

Start a conversation

Send a short note describing the symptom — we'll respond with an honest view on whether and how we can help.

Based inBengaluru, India — working with clients across India and remote-first globally

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