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

AI & Data

AI Proof of Concept & Discovery

Speqto's AI proof of concept service answers one question quickly: will this idea work on your data, well enough, at a cost that makes sense? We run a short discovery, build a narrow test with real inputs, measure it against agreed criteria and give you a plain go, adjust or stop recommendation.

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

What the discovery phase settles

Discovery turns an enthusiasm into a testable plan. We interview users, look at sample data, map the surrounding process and write down what a good answer is, who checks it and what an error costs. We also list constraints early: privacy rules, systems to connect, latency needs and who must approve. Stakeholders sign the criteria off, which means the final result is judged against terms everyone accepted.

The output is a one-page hypothesis and success criteria, for example extraction accuracy on a defined set of fields, or the share of tickets resolved without edits. Agreeing numbers before building prevents the common problem of a demo that impresses everyone but cannot be judged. We keep infrastructure minimal and avoid features unrelated to the question, such as logins or polished screens.

How the proof of concept is run

The build is deliberately narrow. We choose one workflow, load a representative sample of your data, and assemble the simplest pipeline that could work, usually a hosted model, retrieval over your documents and a basic interface or notebook. Where useful we compare two or three model options on the same inputs. A sample of the hardest cases is included deliberately, since easy examples flatter every approach.

Measurement comes from a labeled test set prepared with your subject experts, so scores are not based on our own opinion. We record accuracy, failure patterns, latency and cost per item, and we share the weekly progress in a short demo so stakeholders see results as they emerge. Those findings also show which parts of the process may be better handled by simple rules or a form change.

The decision at the end

You receive a findings report: what worked, what failed and why, data issues uncovered, estimated production effort, run costs and risks. It includes a recommendation and, if positive, a staged plan for a pilot and production, with assumptions that could change the estimate. Time-boxing keeps the exercise honest; if the idea needs far longer to test, that becomes a finding too.

A negative result is still valuable. Knowing that the data is too thin, the task too ambiguous or a rules-based fix sufficient saves the larger budget. Prototype code and notebooks are yours with full IP assignment, and an NDA is available on request before any data is shared. Whether you build with us or not, the assets belong to you and can brief any team.

What we do

What our AI Proof of Concept & Discovery team delivers

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

  • Discovery workshops

    Structured sessions with users and owners to define the problem, success measures, constraints and available data, so scope is agreed before any build starts.

  • Data feasibility check

    Profiling of sample data for volume, quality, labelling needs and access issues that could limit results, found early, before they surprise the project.

  • Time-boxed prototype

    A narrow working pipeline on real inputs, built quickly to test the core assumption instead of polishing the interface.

  • Model and approach comparison

    Side-by-side tests of hosted, open-weight and classical approaches on the same set, scored for accuracy and cost, to see which suits your case.

  • Evaluation set creation

    A labeled test set built with your experts that remains useful long after the proof of concept ends.

  • Findings and roadmap

    A decision report with results, risks, production estimate, run-cost view and, if you proceed, a staged plan for pilot and production.

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 Proof of Concept & Discovery

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

  • Python
  • Jupyter
  • OPOpenAI API
  • ANAnthropic Claude
  • LangChain
  • LlamaIndex
  • pgvector
  • STStreamlit
  • GRGradio
  • scikit-learn
  • LALabel Studio
  • Docker
Outcomes

What you can expect

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

01

A decision grounded in data

Go, adjust or stop recommendations rest on measured results from your own inputs, not vendor claims.

02

Lower risk before big spend

A small, scoped test reveals data and scope problems early, when changing course is still cheap.

03

Reusable assets

Test sets, pipelines and notes carry into the pilot, so the proof of concept work is not thrown away.

FAQ

AI Proof of Concept & Discovery FAQs

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

What is an AI proof of concept?

It is a small, time-boxed test showing whether an AI approach can solve a specific problem on your real data to an agreed standard. It is not a full product, and it ends with measured results and a recommendation.

How long does an AI proof of concept take?

It is deliberately short, generally a matter of weeks, depending on data access and the number of approaches compared. We agree a fixed scope and schedule in discovery, so there is no open-ended experimentation or drifting timeline.

What data do you need for a proof of concept?

A representative sample of the inputs and, where relevant, known correct outputs. It can be a few hundred documents or records. We sign an NDA before any data is shared and can work with masked or anonymised data.

What happens if the proof of concept fails?

You still get value: findings on why, data gaps, alternative approaches such as rules or a simpler model, and a clear view of what would need to change. Stopping early costs far less than a failed build.

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.

“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

Have an AI idea or a product to build? Let’s talk.

Tell us what you are building. A solutions architect will respond within one business day with next steps and a no-obligation estimate.

  • Free 30-minute consultation
  • NDA on request, before we talk details
  • Estimate within 3–5 business days
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