India-built AI & blockchain engineering since 2017 · Serving clients worldwide

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AI & Data

AI-Augmented Software Development

Speqto's engineers use AI-augmented software development as a normal part of delivery, not a shortcut around it. Assistants help draft code, tests and documentation, while people own design, review and accountability. This page explains how the process works, where the speed comes from, and what protects your code, for CTOs and product owners hiring a build partner.

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  • Prototype in weeksProof before big budgets
  • Weekly demosSee progress, not slides
  • You own the codeFull IP assignment
  • 128+ engineersFive offices, three continents

Where AI helps in the delivery cycle

The gains are uneven across the lifecycle. Assistants are strong at boilerplate, scaffolding, test generation, migration scripts, refactoring repetitive code, explaining unfamiliar modules and drafting documentation. They are weaker at architecture, ambiguous requirements and subtle domain rules, which is where senior engineers still spend their attention. Prompt and context habits matter too; engineers give assistants clear specifications and existing code conventions to follow.

We apply AI where output is cheap to verify. Generated tests are run, generated queries are inspected, generated UI is reviewed in a browser. Time saved on routine work is reinvested in design discussion, edge cases and demos, which is how a project ends sooner without becoming sloppier. Routine tasks that once consumed days, such as writing fixtures or migrating an API version, now move noticeably quicker.

Guardrails that keep quality high

Every change, written by a person or a tool, goes through the same pull request process: static analysis, type checks, automated tests, dependency and secret scanning, and review by a second engineer who is expected to understand the diff. Authorship is not an excuse for a lighter review. Where a suggestion looks plausible but nobody can say why it works, the reviewer is expected to ask and not approve.

We watch for known assistant failure modes: invented library functions, outdated APIs, insecure defaults, duplicated logic and tests that assert nothing. Architecture decisions are recorded, and code that nobody on the team can explain is rewritten instead of merged. Weekly demos show working software so progress is visible, not claimed. Mutation testing and coverage checks help us spot tests that run but verify nothing of value.

Your code, your IP, your data

Clients often ask what happens to their source code. We choose tools and plans that do not train on submitted code, restrict what repositories and secrets assistants can see, and follow any rules you set, including a ban on AI tools for particular modules. Our NDA is available on request. Some clients require that no code leaves their network, and we can use self-hosted models or disable assistants for those repositories.

All work product is assigned to you in full, and we disclose which AI tools sit in the workflow. Licensing risk from generated snippets is managed with scanning and review. If your policy needs a different arrangement, such as on-premise models, we can adapt the setup and tell you how it changes delivery speed. Disclosure of the tools used is part of the engagement, so your security team can assess them in advance.

What we do

What our AI-Augmented Software Development team delivers

Specific work we do for clients, with the senior people who do it.

  • AI-assisted feature delivery

    Product features built with assistants for scaffolding and tests, then reviewed by a second engineer and demonstrated in working form every week.

  • Test generation and coverage

    Unit, integration and browser-level tests drafted with AI, then checked by engineers so that every test makes meaningful assertions.

  • Legacy code understanding

    Assistant-supported analysis of undocumented systems, producing maps, summaries and safe refactoring plans before anyone changes a line of code.

  • Documentation and handover

    Generated and edited API docs, runbooks and architecture notes kept close to the code, and updated whenever the code changes.

  • Secure AI coding policy

    Guidelines on tools, data exposure, review rules and licensing for teams adopting coding assistants, so adoption does not create new exposure.

  • Team workflow coaching

    Hands-on training for your developers on prompting, review habits and measuring assistant impact, using your own codebase for practical exercises.

Why Speqto

A team you can rely on from the first call

The habits that keep projects calm: clear scope, visible progress and engineers who stay accountable.

  • Building since 2017

    Nine years of shipping web, mobile, AI and blockchain products for startups and enterprises.

  • 128+ engineers

    A bench of senior engineers, designers and QA, so one person leaving never stalls your product.

  • Offices on three continents

    Noida HQ with teams in Surat, London, the US and Ho Chi Minh City for overlapping working hours.

  • AI-first workflow

    AI-assisted coding, testing and reviews speed delivery, with a named human accountable for every merge.

  • Weekly demos

    You see working software every week and can redirect early, long before a release surprise.

  • You own everything

    Full IP assignment, repository access from day one and an NDA before we talk details.

How we deliver

A proven process from idea to scale

Transparent, agile delivery with weekly demos and clear milestones, so you always know what is shipping and why.

  1. 01

    Discover

    Workshops to understand goals, users, data and success metrics.

  2. 02

    Plan

    Architecture, roadmap, estimate and a team shaped to your needs.

  3. 03

    Design

    UX flows, prototypes and technical design validated with stakeholders.

  4. 04

    Build

    Agile sprints with weekly demos, code reviews and automated testing.

  5. 05

    Launch

    Secure deployment, monitoring and a smooth go-live.

  6. 06

    Scale

    Ongoing optimization, new features and support as you grow.

Technology

Tools and platforms for AI-Augmented

The stack our engineers use on this kind of work every week.

  • GIGitHub Copilot
  • CLClaude Code
  • CUCursor
  • JEJetBrains AI Assistant
  • SonarQube
  • SESemgrep
  • SNSnyk
  • GitHub Actions
  • Jest
  • PYPytest
  • Playwright
  • DEDependabot
Outcomes

What you can expect

Every engagement is tied to measurable business results, not just deliverables.

01

Faster routine work

Boilerplate, tests and documentation take less time, so engineers spend more of each week on design and hard problems.

02

Unchanged quality bar

AI-written and human-written code pass identical review, test and security gates before release, whoever or whatever wrote the code.

03

Clear ownership

Full IP assignment, tool disclosure and NDA coverage keep your code protected and your legal team comfortable.

Engagement models

Work with us the way that suits you

Start small, change the shape later. Every model includes weekly demos and full IP ownership.

Dedicated Development Team

Long-term products & roadmaps

A full, cross-functional squad (engineers, QA, designer, PM) working only on your product, managed with your processes and tools.

  • Scale up or down with 30 days notice
  • Overlap with your working hours and daily stand-ups
  • Direct access to every team member
Learn more

Staff Augmentation

Filling skill gaps fast

Pre-vetted senior engineers who join your in-house team within days to add capacity or specialist expertise.

  • Profiles shared within 48 hours
  • Flexible monthly contracts
  • Replacement guarantee
Learn more

Fixed-Scope Projects

MVPs & well-defined builds

A clear scope, timeline and price, delivered in milestones with demos at every stage.

  • Detailed estimate after discovery
  • Milestone-based billing
  • Warranty period after launch
Learn more

Managed Services

Ongoing support & operations

We run and continuously improve your applications, cloud and infrastructure under defined SLAs.

  • 24/7 monitoring options
  • Monthly reporting and reviews
  • Predictable monthly pricing
Learn more
Selected work

Products we have built

Real products shipped by our teams across fintech, Web3, AI and consumer apps.

Blocedu product screenshot AI Solutions

Blocedu

BlocEdu is an online platform offering blockchain-based educational courses and resources, built to empower people with the skills required to…

  • React
  • Java
  • MongoDB
  • Web3
5 Months · 10 Members Pirate ArBot product screenshot Trading Bot

Pirate ArBot

Pirate ArBot is a high-frequency forex trading robot that uses sentiment algorithms, market trends and PIPs to place profitable orders…

  • React Native
  • React
  • Python
  • Django
2 Months · 6 Members Pirates x Algo Trading product screenshot Trading Bot

Pirates x Algo Trading

A high-frequency forex trading robot that uses sentiment algorithms, market trends and PIPs to place profitable orders for a positive…

  • Python
  • Django
  • MongoDB
  • MT4/MT5
3 Month · 6 Members

See all projects

Industries

Sectors we know well

Domain context shortens discovery and avoids costly rework.

FAQ

AI-Augmented Software Development FAQs

Straight answers on cost, timelines, IP ownership, team setup and how we work. Cannot find yours? Ask a solutions architect directly.

Ask a question Chat on WhatsApp
Does AI-assisted development make software cheaper?

It can shorten routine work, but savings depend on the project. Design, integration and review still need skilled people. We discuss where AI helps in your scope and reflect it in the plan, without promising fixed percentages.

Is AI-generated code safe to use in production?

It is safe when treated as untrusted until reviewed. We run tests, static analysis, dependency and secret scans, and peer review on every change, and we check for hallucinated APIs and insecure defaults. Reviewers must be able to explain every merged line.

Will our source code be used to train AI models?

We select tools and plan tiers that exclude customer code from training, limit repository access, and follow your restrictions. Details are written into the engagement, and we can avoid AI tools entirely on sensitive parts.

Who owns code written with AI assistants?

You do. Our contracts assign all intellectual property to you, and we apply license scanning and review to reduce the chance of problematic snippets. Your counsel should confirm the position for your jurisdiction, and we can document authorship rules in the contract.

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Client reviews

Rated 5.0/5 by clients on Clutch

Independent, verified reviews from founders and technology leaders we have worked with. Read them in full on each platform.

Clutch 5.0 12 reviews Google 4.4 43 reviews Techreviewer 4.9 20 reviews DesignRush 4.5 2 reviews Upwork 4.9 124 reviews GoodFirms 5.0 1 review Glassdoor 4.1 49 employee reviews

“What I found most impressive about Speqto Technologies was their profound technical depth.”

Andrea Daminelli Founder & Co-CEO, Daze Milan, Italy · Blockchain development for an EV charging company
Verified review on Clutch

“The project management throughout this complex undertaking was exceptionally proactive and structured.”

Rostyslav Burylo CEO, Lynksen Lisbon, Portugal · Blockchain development
Verified review on Clutch

“Their ability to translate complex cryptographic concepts into actionable, business-aligned strategies set them apart.”

Oleksandr Sendulskyi Senior Marketing Manager, BINTIME IT Company Ukraine · Blockchain development services
Verified review on Clutch

See all reviews

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  • NDA on request, before we talk details
  • Estimate within 3–5 business days
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