01
On-device AI
Phi-3, Gemma, Llama-edge locally for low-latency and privacy.
Mobile App Development
AI / ML-Based Apps.
AI-native mobile apps.
Mobile + desktop apps with AI baked into the critical path — on-device LLMs, voice, vision, agentic actions, all wired into offline-first sync and the kind of polish that ships.
<300ms
On-device latency
Local
Privacy
200+
Eval cases
−41%
Cost-per-task
Trusted by enterprises
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Service overview
Engineering ai / ml-based apps
We build mobile and desktop apps with AI in the critical path — not as a chat widget bolted on. On-device LLMs, voice, vision, agentic actions with confirmations. Phi-3, Gemma, Llama-edge running locally for low-latency, privacy-sensitive cases.
We architect for the realities: model fallback, partial-connectivity sync, citations, audit trail.
Practice signalsSenior-ledWeekly demosCode review on every PRProduction on-call
01
<300ms
On-device latency
Phi-3 / Gemma
02
Local
Privacy
No PII in cloud
03
200+
Eval cases
Per agent
04
−41%
Cost-per-task
v. cloud-only
Business challenges we solve
What keeps teams shipping ai / ml-based apps.
Latency on cloud LLMs killing the UX
Privacy-sensitive use cases that can't phone home
Hallucinations in production
Offline behavior breaking AI features
Billing surprise from LLM calls scaling
Agentic actions without confirmations in production
Why choose this service
Three senior-led practice lines.
Outcome-anchored, owned by a practice lead with clear accountability, weekly demos, and the kind of code review culture you'd build internally if you had a year.
02
Cloud + on-device
Online when available, graceful fallback offline.
03
Eval harness
200+ graded examples, regression in CI.
Key features
What ships, by default in every engagement.
F·01
On-device LLM
Phi-3 / Gemma / Llama-edge, GPU-accelerated.
F·02
Voice input
Speech-to-text, OS-level intents, latency budget.
F·03
Vision
On-device image segmentation, OCR, document understanding.
F·04
Agentic actions
In-app agent that takes real actions, with confirmation.
F·05
Citations
Above-threshold confidence requires citation.
F·06
Eval harness
200+ graded examples, regression in CI before merge.
Benefits & business outcomes
Numbers senior clients measure.
Latency
On-device for fast paths
<300ms
Outcome · 01
Privacy
On-device for sensitive paths
Local-first
Outcome · 02
Eval harness
Graded examples in CI
200+ cases
Outcome · 03
Development process
Senior squads. Tight loops. Code every day.
01
Week 1Use-case triage
Map use cases to on-device vs cloud, eval criteria.
02
Week 2Eval harness
200+ graded examples, success criteria.
03
Week 3–10Build
Feature sprints, eval-driven, weekly release.
04
OngoingOperate
Cost-per-task, success rate, monthly tuning.
Technologies we use
The stack we ship in production.
Layer · 01
On-device
Phi-3
Gemma
Llama-edge
mlx
Layer · 02
Cloud LLM
ClaudeGPT-4
BedrockVertex
Layer · 03
Voice/Vision
Whisper
Core ML
MediaPipe
Industries we serve
Verticals where we've shipped, not where we dabble.
V·01
Healthcare
Patient triage, clinical notes
Signal<300ms On-device latency
V·02
Legal
Document review, drafting
SignalLocal Privacy
V·03
Field services
Diagnostics copilot
Signal200+ Eval cases
V·04
Education
Tutoring, grading
Signal−41% Cost-per-task
V·05
Sales
Call summarisation, drafts
Signal<300ms On-device latency
V·06
Productivity
Smart notes, scheduling
SignalLocal Privacy
Why Abstriq
Built for teams who ship fast in production.
We're not a body shop or a freelance marketplace. We run a senior-heavy engineering org with clear practice leads, real code review, and real on-call coverage.
Signal
<300ms
On-device latency
Signal
Local
Privacy
Signal
200+
Eval cases
Signal
−41%
Cost-per-task
Vertical AI, not just LLMs
We build agents that actually move numbers — wired into your systems, your data, your workflows.
Ship in weeks, not quarters
Small senior squads, tight feedback loops, code-merge every day, demo every week.
Industrial-grade rigor
From PLCs to SOC2 — production safety, observability, and resilience baked in.
One team across four worlds
Web, mobile, AI, and industrial under one roof — no vendor ping-pong.
FAQs
The questions we hear most.
If yours isn't here — ping us and we'll reply with specifics on your stack.
01On-device vs cloud LLM?
On-device for low-latency and privacy-sensitive paths. Cloud for higher-accuracy or larger context. We pick per use case in week one.
02Hallucinations in production?
Citations required above confidence threshold, eval harness in CI, eval-driven iteration. Kill switch on regressions.
03What about cost spike from cloud LLMs?
Cost-per-task dashboard, per-action budgets, monthly tuning, fallback to smaller models when applicable.
04Agent actions — risk surface?
Confirmations for real actions (book, buy, edit). Drafts-only for risky actions by default. Audit trail for every agent call.
Related services
Other practices inside Mobile App Development.
Free consultation
Ready to ship ai / ml-based apps?
Tell us the problem — proposal in under 48 hours. NDA-friendly by default, senior-led, and we typically walk you through a proof-of-concept before the engagement closes.
Reply in 24hNDA-friendlySenior-ledProduction on-call