SoftUs Infotech designs and ships LLM platforms, autonomous agents, computer vision products, ML infrastructure, and SaaS experiences where the AI is not decoration. It becomes the operating layer of the business.
softus.ai · live engine
region us-east · model claude-sonnet-4.6
Active pipeline
5 stages · 1 request in flight
Model reasoning · live trace
Tools in scope
rate
1.24k tok/s▲
p99
138ms·
acc
94.7%▲
Trusted by product teams shipping real AI
Five years of shipping AI under engineering discipline. Each stat below maps to a live system in someone's production.
45+
AI systems shipped
Real applications in real environments — copilots, RAG search, agent workflows, vision pipelines.
Each one carries an SLA, a monitoring dashboard, and a retraining plan we still own.
Client satisfaction
Weekly demos, visible burn-down, zero ghost weeks.
Countries served
Remote-first delivery across 5 timezones.
Delivery layers
Strategy, design, engineering, production support.
Median time to live
From kickoff to first production traffic.
From lead intelligence to voice AI and automation platforms, the work has to prove SoftUs can handle serious product and engineering pressure.
One offer, six surfaces. Pick a single capability or compose them into a full product programme — every engagement carries the same delivery discipline.
The experience should feel controlled from the first call — clear milestones, weekly demos, no mystery around what is happening.
Problem framing, data audit, success metrics, and risk surface — what the AI must never get wrong before we write any of it.
Models, RAG, agents, APIs, evaluation, monitoring, and integration boundaries drawn against your real stack.
Sprint-driven slices: clickable UX, backend orchestration, model behavior, and acceptance criteria visible weekly.
Evaluation harnesses, shadow traffic, regression sets, and human review queues before any user-facing rollout.
CI/CD, environments, observability, alerting, fallback paths, and an ownership doc that survives a vendor change.
Generative AI SolutionsFeatured / 01An AI-driven lead generation platform that consolidates data from 10+ verified sources into a unified, CRM-ready database. It enriches and deduplicates contacts in real-time, automates CRM synchronization, and significantly improves lead accuracy—helping sales teams save time, increase outbound efficiency, and boost conversion rates.
Read full case study
Generative AI Solutions
Generative AI SolutionsAcross fintech, healthtech, legaltech, edtech, D2C, and more — one production handover at a time.
Fraud rate cut 11×
SoftUs gave us a containerized model, a monitoring dashboard, and a retraining pipeline by sprint five. Fraud dropped from 3.4% to under 0.3% within the first month.
Arjun Mehta
CTO
Fintech Payments — India / US
From 3 hours to 20 minutes
Analysts went from three hours per compliance question to under twenty minutes, with sourced references. Not a single hallucinated answer in over 400 real queries.
Sarah Chen
Head of Legal Ops
LegalTech — Singapore
MT5 live in six weeks
Three agencies failed on this. SoftUs scoped it in one call, had a backtest environment in week two, and we went live on MT5 in week six. They also flagged two critical flaws in our strategy logic.
Marcus Forde
Co-Founder
Trading SaaS — UK
60% contractor spend cut
SoftUs built a computer vision pipeline that handles 94% of cases automatically at 96% field-level accuracy. We cut contractor spend by more than half in 60 days.
Priya Nair
Chief Product Officer
HealthTech — United States
MLOps unblocked in 2 sprints
SoftUs diagnosed the issue in half a day and shipped a full MLOps setup — model registry, retraining triggers, A/B shadow deploys. What we had failed to solve for three months took them two sprints.
Lena Fischer
Lead ML Engineer
B2B Analytics — Germany
97% straight-through processing
Document intake automation went from 38% to 97% straight-through in eight weeks. The audit log and policy guardrails made our compliance review trivial.
Daniel Okafor
Head of AI
Insurance SaaS — UK / EU
Practical strategy and engineering notes for teams planning AI systems that need to work outside the demo.
The questions founders and CTOs ask us most. If yours isn't here, bring it to a 30-minute scoping call — we'll be specific.
Bring the problem. We'll help shape the product, define the architecture, and show the fastest path to a serious first version.
A practical first roadmap in the discovery call
Architecture, timeline, and delivery options in plain English
Security, scalability, and reliability discussed upfront
Model registry
softus-rag-v4.2
187ms
Latency
128k
Context
$0.004
Cost / req
Evaluation suite
Deploy pipeline
prod / canary 25% — healthy
