02
The architecture assessment they handed us in week two was more useful than the six months of consulting we'd paid for before it.
We build software that senses, adapts, and evolves.
EvoSense is the senior engineering partner behind AI-native platforms, resilient cloud architecture, and products that still hold up eighteen months after launch.
Fixed scope · You own the code · Reply within one business day
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01About EvoSense
The partner teamskeep after thelaunch.
We are a forward thinking technology company specializing in Artificial Intelligence solutions that help businesses innovate, automate, and make smarter decisions. By leveraging cutting edge AI technologies, we develop intelligent systems that improve productivity, enhance customer experiences, and unlock new opportunities for growth.
Our expertise includes machine learning, generative AI, natural language processing (NLP), computer vision, predictive analytics, AI chatbots, intelligent automation, and custom AI model development. We build scalable, secure, and business-focused AI solutions tailored to the unique needs of each organization.
Our mission is to transform complex business challenges into intelligent, AI-driven solutions that deliver measurable results. By combining advanced technology with strategic thinking, we empower businesses to streamline operations, gain actionable insights, reduce costs, and stay ahead in an increasingly AI-powered world.
At a glance
- Founded
- 2020 · Pakistan
- Team
- senior engineers & designers
- Certifications
- SOC 2 Type II · ISO 27001
Most software doesn't fail at launch. It fails eighteen months later, when the architecture can't absorb what the business learned.
01
Sense first
Discovery is instrumented, not improvised. We measure the existing system before proposing a new one.
02
Build to be changed
Modular boundaries, typed contracts, and migration paths designed in from the first commit.
03
Evolve continuously
Post launch we stay on as an evolution partner telemetry reviews, roadmap pressure testing, SLAs.
Our core services
08 capabilities
- 01Artificial Intelligence & Machine Learning
- 02Enterprise Software Solutions
- 03Custom Software Development
- 04Web & Mobile Application Development
- 05Cloud Solutions & DevOps
- 06UI/UX Design
- 07Quality Assurance & Testing
- 08IT Consulting & Digital Transformation
Together, we build technology that empowers businesses, inspires innovation, and creates lasting impact.
02What we do
Six disciplines,one delivery team.
We don't hand you off between departments. Each pod carries architecture, implementation, and hardening for whichever of these your problem actually needs.
- 01
AI & Applied Intelligence
Production LLM systems with retrieval, agents, and evaluation harnesses shipped with guardrails, not demos.
- RAG & knowledge infrastructure
- Agentic workflow orchestration
- Model evals & regression suites
- Inference cost engineering
- 02
Product Engineering
Web and mobile products built on typed, testable foundations that survive their own roadmap.
- Next.js & React Native apps
- Design system implementation
- Legacy modernisation
- Accessibility to WCAG 2.2 AA
- 03
Cloud & Platform Engineering
Infrastructure you can reason about: declarative, reproducible, and cheaper than what it replaced.
- Kubernetes & serverless topologies
- Terraform / Pulumi IaC
- Multi region resilience
- Cloud spend reduction audits
- 04
Data & Analytics
Pipelines and warehouses that turn scattered events into a single trustworthy source of truth.
- Streaming & batch ingestion
- Warehouse & lakehouse modelling
- Semantic layers and dbt
- Real-time analytics surfaces
- 05
Security & Compliance
Threat modelling and control implementation aligned to the audit you're actually facing.
- SOC 2 / ISO 27001 readiness
- Zero-trust identity design
- Secrets & key management
- Penetration-test remediation
- 06
Experience Design
Interface and interaction design that engineering can implement without translation loss.
- Product & UX strategy
- Design systems in Figma + code
- Motion and interaction specs
- Usability research sprints
03Selected work
Shipped toproduction.
A selection of AI systems, platforms, and products EvoSense has designed, built, and shipped from real time AI and autonomous agents to production SaaS and consumer apps.
- AI Systems03
- SaaS02
- Consumer02
01AI Systems
Pretense
AI data-loss firewall for developers
A local proxy that detects secrets, API keys, and PII in prompts and swaps them for realistic stand-ins before they reach any LLM values in the response.
- LLM proxy
- PII redaction
- macOS · Linux
02AI Systems
Lingopal
Real time AI dubbing engine
Sub-10-second speech-to-speech translation and captioning for live broadcast and VOD across 100+ languages, with voice cloning and glossary control.
- Speech-to-speech
- Voice clone
- Realtime
03AI Systems
SingularShift
AI-readiness assessment platform
Voice agents run bottom up org diagnostics in under 24 hours, returning a readiness score, benchmarks, and a roadmap wired to a vetted agent marketplace.
- Voice agents
- Benchmarks
- Enterprise
04SaaS
BloomStack
ERP-to-AI agent platform
An all-in-one operations suite with seed-to-sale track-and-trace and compliance, extended with autonomous agents that automate reporting and back-office work.
- ERP
- AI agents
- Compliance
05SaaS
ErieDistro
Wholesale ordering platform
A B2B catalog and ordering system for a wholesale distributor, with an AI reorder assistant that turns fast moving SKUs into one stap restocks.
- Commerce
- Catalog
- AI reorder
06Consumer
Suuvo
AI native social app
A social platform with real time video, in-app games, and AI powered full body filters and one tap photo enhancement shipped for iOS and Android.
- React Native
- Live video
- AI filters
07Consumer
Cloaked
Privacy identity platform
Unlimited working email, phone, and password aliases with automated data broker removal, call guard, and dark web monitoring send to end encrypted.
- Privacy
- Aliases
- E2E encryption
Next
Your system here.
Tell us what you're building and we'll tell you honestly whether we're the right team for it.
04Technology stack
Boring where it counts,sharp where it pays.
We choose tools for their failure modes, hiring pool, and upgrade path not their launch week. Everything here is something we run in production today.
AI / ML
01 / 06
- PyTorch
- LangGraph
- Claude
- pgvector
- Ray
- vLLM
- Upgrade cadence
- Quarterly, in-sprint
- Median dependency age
- 4.2 months behind latest
- Post-handover support
- 12 months, SLA-backed
Not on this list? Say so we've inherited Rails monoliths, .NET estates, and one memorable Perl scheduler, and we'll tell you honestly whether we're the right team for it.
05Why choose EvoSense
Six reasons technicalleaders re-sign.
We're not the cheapest option and we don't pretend to be. Here's what you get instead.
01
Senior only pods
Median 11 years of experience. Nobody is learning your domain on your invoice.
02
6 weeks to production
Our median engagement reaches real users in a quarter, with scope fixed up front.
03
You own everything
Your repositories, your cloud accounts, your IP from the first commit, in writing.
04
No account management tax
You talk to the architect and the engineers directly. Weekly demos, not status decks.
05
Cost engineering included
We've cut client cloud bills by an average of 34% while increasing throughput.
06
Honest scoping
If a smaller build gets you the same outcome, we'll tell you and quote the smaller build.
How the options actually compare
Median across 40 engagements
| Dimension | EvoSense | Typical agency | Hiring in-house |
|---|---|---|---|
| Time to first production release | 5-9 weeks | 3-5 months | 3-5 months |
| Who writes your code | Senior architects | Rotating juniors | New hires ramping |
| IP & repository ownership | Yours, day one | Negotiated later | Yours |
| Observability & runbooks | Included | Add on | Team-dependent |
| Cost predictability | Fixed scope | Time & materials | Fixed + overhead |
06How we work
Five phases.No mystery months.
Every phase produces an artefact you keep, whether or not you continue to the next one. Scope and price are locked before a line of production code is written.
01
Sense
Week 1–2
We audit what exists: code, telemetry, cloud spend, team velocity. You get a written architecture assessment whether or not we continue.
- System audit
- Risk register
- Opportunity map
02
Architect
Week 2–4
Target architecture, data contracts, and a sequenced delivery plan with explicit non-goals. Scope and price are fixed here.
- ADR set
- Delivery plan
- Fixed quote
03
Build
Week 4–12
Two-week increments, each ending in a working deployment on your infrastructure. Demo every Friday, no exceptions.
- Shipped increments
- Preview envs
- Weekly demos
04
Harden
Week 10–14
Load testing, chaos drills, security review, and accessibility audit. We break it deliberately before your users do accidentally.
- Load reports
- Pen-test fixes
- SLO dashboards
05
Evolve
Ongoing
Handover with runbooks and recorded walkthroughs, then a quarterly evolution cadence: telemetry review, roadmap pressure-test, targeted upgrades.
- Runbooks
- Team enablement
- Quarterly reviews
Phase one is a standalone engagement.
Two weeks, fixed fee, and you walk away with a written architecture assessment even if you never hire us for the build.
07Client stories
What people say whenthe invoice is settled.
4.9/5
Across 40 engagements
They rebuilt our ingestion layer while it was carrying eleven million events a day, and we never took a maintenance window. That still impresses me.
Marisol Okafor
VP Engineering
Orbital Freight
03
Our retrieval pipeline went from a clever prototype to something we can put in front of clinicians. The eval suite is what made that possible.
04
Cloud spend down 41%, p95 latency down 60%. They found both in the same audit and shipped the fixes in one quarter.
05
Handover was the part I was dreading. Instead we got runbooks, ADRs, and recorded walkthroughs. My team was autonomous in two weeks.
06
They talked us out of the bigger contract because a smaller build solved the problem. That's why we're on our fourth engagement.
08Questions
Answers,beforeyou ask.
The things technical leaders actually want to know before a first call. If yours isn't here, ask it directly a real engineer replies.
Ask us something elsePods typically open within two to three weeks of a signed scope. Discovery can begin sooner we often run the two week assessment while contracting is still in progress, so no time is lost.
09Get in touch
Tell uswhat's breaking.
Or what you want to build next. Either way, the reply comes from an engineer who has read it properly.
- 01
You send the shape of the problem
A paragraph is plenty. Stack, timeline, and what's currently breaking help most.
- 02
We reply within one business day
With a real engineer's read on the problem not a calendar link and a brochure.
- 03
Scoping call, then a written plan
45 minutes with the architect who would lead the work, followed by a proposal.
Direct channels
- Phone
- +92 309 6931994
- Studio
- 336, G3 Main Blvd, Johar Town, Lahore 54782
- Hours
- 09:00–18:00 EST · async across 9 time zones