AI & Machine Learning
We help US companies move AI from slide decks to production. From retrieval-augmented copilots and autonomous agents to forecasting models and algorithmic trading bots, our engineers design, train, evaluate and ship AI systems that are secure, measurable and built to scale.
What our AI & Machine Learning team delivers
Generative AI & LLM Apps
Copilots, chat assistants and document intelligence built on GPT, Claude, Gemini, Llama and open-weight models, with retrieval (RAG) over your private data.
AI Agents & Automation
Multi-step agents that call your APIs, fill forms, triage tickets and run back-office workflows with human-in-the-loop controls.
Predictive Analytics
Demand forecasting, churn prediction, credit and fraud scoring models trained on your historical data and monitored in production.
Computer Vision & NLP
Image classification, OCR, object detection, sentiment and entity extraction for inspection, KYC and content workflows.
AI Trading Bots
Rules-based and ML-driven trading bots for crypto and equities with back-testing, risk limits and exchange integrations.
MLOps & Model Governance
CI/CD for models, evaluation harnesses, drift monitoring, cost controls and audit trails that satisfy security reviews.
What you can expect
Every engagement is tied to measurable business results, not just deliverables.
Faster time to value
Discovery-to-pilot in weeks, with clear success metrics agreed up front.
Your data stays yours
Private deployments on AWS, Azure or GCP; no training on your data without consent.
Measured, not guessed
Every model ships with an evaluation suite and a production dashboard.
Technology stack
Tools and platforms our team uses for this service.
- OpenAI
- Anthropic Claude
- LangChain
- LlamaIndex
- PyTorch
- TensorFlow
- Hugging Face
- AWS SageMaker
- Azure AI
- Vertex AI
- Pinecone
- pgvector
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.
-
01
Discover
Workshops to understand goals, users, constraints and success metrics.
-
02
Plan
Architecture, roadmap, estimate and a team shaped to your needs.
-
03
Design
UX flows, prototypes and technical design validated with stakeholders.
-
04
Build
Agile sprints with weekly demos, code reviews and automated testing.
-
05
Launch
Secure deployment, monitoring and a smooth go-live.
-
06
Scale
Ongoing optimization, new features and support as you grow.
AI & Machine Learning FAQs
Can you build on our existing data stack?
Yes. We integrate with Snowflake, BigQuery, Databricks, Postgres and most SaaS APIs, and deploy inside your own cloud account.
How do you handle AI accuracy and hallucinations?
We ground responses in your data with retrieval, add guardrails and citations, and run automated evaluations before every release.
What does a first AI engagement look like?
Usually a 2–3 week discovery and proof of concept on one high-value use case, followed by a production build if the numbers work.
Explore related services
IoT Development
Connected devices, edge computing and real-time dashboards for smart operations.
Learn moreData Science & Analytics
Modern data platforms, pipelines and BI dashboards that turn raw data into decisions.
Learn moreBlockchain & Web3
Smart contracts, DeFi, tokenization, wallets and enterprise blockchain solutions.
Learn moreRated 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.”
“The project management throughout this complex undertaking was exceptionally proactive and structured.”
“Their ability to translate complex cryptographic concepts into actionable, business-aligned strategies set them apart.”
Have a project in mind? 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